------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\markd\Dropbox\Mark Research\Working Papers\Gibler-Nieman\Split-sample alliance\JoP Final\Replication\Appendix\NiemanGibler_JOP_demdiff_appendix.log
  log type:  text
 opened on:  25 Sep 2020, 14:40:55

. /* Mark Nieman and Doug Gibler */
> /* Appendix for Taking Democratic Differences Seriously */
> /* Input: NiemanGibler_demdiff_ally.dta, GiblerTir2014, Threat_MI.dta, 
>                         Alliance_Formation, NiemanGibler_demdiff_trade */
> /* Output: alliance_sel.dta, Figure A1, Figure A2., Figure A3, Figure A4, 
>                         Table A1-A13 */
> 
> /* Preamble */
> clear;

. estimates clear;

. set memory 4g;

. program drop _all;

. clear matrix;

. tempfile temp_file alliance_sel;

. set seed 17;

.         /* Program for split-sample logit */
>                 #delimit;
delimiter now ;
.                 program define spl_lf, rclass;
  1.                                         args lnf beta gamma ;
  2.                         tempvar rel violate;
  3.                                 quietly gen double `rel' = 1/(1+exp(-`gamma'));
  4.                                 quietly gen double `violate' = 1/(1+exp(-`beta'));
  5.                         quietly replace `lnf' = ln((1-`rel')+(`rel'*(1-`violate'))) if $ML_y1==0;
  6.                                 quietly replace `lnf' = ln((`rel')*(`violate')) if $ML_y1==1;
  7.                 end;

.                                 /* program for split-sample probit */
>                 program define sp_prob_lf, rclass;
  1.                                         args lnf beta gamma ;
  2.                         tempvar rel violate;
  3.                                 quietly gen double `rel' = normal(`gamma');
  4.                                 quietly gen double `violate' = normal(`beta');
  5.                         quietly replace `lnf' = ln((1-`rel')+(`rel'*(1-`violate'))) if $ML_y1==0;
  6.                                 quietly replace `lnf' = ln((`rel')*(`violate')) if $ML_y1==1;
  7.                 end;

.                                         /* Calculate Rubin formula for uncertainty */
>                 capture program drop rubin;

.                 program define rubin;
  1.                         local names: colnames(Q1);
  2.                         /* MI param estimates */
>                         matrix Q = (Q1 + Q2 + Q3 + Q4 + Q5)/5;
  3.                         /* MI covariances     */
>                         matrix W = (W1 + W2 + W3 + W4 + W5)/5;
  4.                                         matrix ll = (ll1 + ll2 + ll3 + ll4 + ll5)/5;
  5.                         local  k = colsof(Q);
  6.                         forvalues i=1/5 {;
  7.                           matrix QQ=Q`i'-Q;
  8.                           if `i'==1 {;
  9.                                 matrix B=(QQ)'*QQ;
 10.                                 };
 11.                           else matrix B = B + (QQ)'*QQ;
 12.                         };
 13.                         /* Covariance adjustment */
>                         matrix B=B/(5-1);
 14.                                         /* Final covariance   */
>                         matrix V=W+(1+1/5)*B;
 15.                                                         ereturn post Q V ;
 16.                 end;

. /* Construction of the Instrumental Variable */
> /* Table A.1: */                
>         /* Load Fatal MID and predictors among contigious states */
>         use GiblerTir2014, clear;

.         /* Replicate Gibler and Tir for time period 1919-2001 */
>         logit mzfatalmid samemaster peacetrans violenttrans peace_defpact2 either_cowintra
>                 threat_militarization1 high_threat_terrMID lndyaddur1 mzpceyrs mzpceyrs2 mzpceyrs3;

Iteration 0:   log likelihood = -2277.4286  
Iteration 1:   log likelihood =  -2077.117  
Iteration 2:   log likelihood =  -1745.383  
Iteration 3:   log likelihood =  -1706.994  
Iteration 4:   log likelihood = -1695.4662  
Iteration 5:   log likelihood = -1687.5046  
Iteration 6:   log likelihood = -1684.6016  
Iteration 7:   log likelihood = -1684.4377  
Iteration 8:   log likelihood = -1684.4369  
Iteration 9:   log likelihood = -1684.4369  

Logistic regression                             Number of obs     =     13,995
                                                LR chi2(11)       =    1185.98
                                                Prob > chi2       =     0.0000
Log likelihood = -1684.4369                     Pseudo R2         =     0.2604

----------------------------------------------------------------------------------------
            mzfatalmid |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
            samemaster |   .2914779   .1191629     2.45   0.014     .0579228     .525033
            peacetrans |  -.5748488   .1934968    -2.97   0.003    -.9540956   -.1956021
          violenttrans |    .496306    .121752     4.08   0.000     .2576765    .7349355
        peace_defpact2 |  -.9094642   .2160661    -4.21   0.000    -1.332946   -.4859825
       either_cowintra |   .2200448   .1067245     2.06   0.039     .0108685     .429221
threat_militarization1 |   15.87941   2.191153     7.25   0.000     11.58483    20.17399
   high_threat_terrMID |   .4252067   .0967601     4.39   0.000     .2355604    .6148531
            lndyaddur1 |   .1928367   .0382917     5.04   0.000     .1177864     .267887
              mzpceyrs |  -.4490884   .0266707   -16.84   0.000    -.5013621   -.3968147
             mzpceyrs2 |   .0127347   .0012015    10.60   0.000     .0103799    .0150896
             mzpceyrs3 |  -.0000975   .0000135    -7.23   0.000     -.000124   -.0000711
                 _cons |  -2.831252   .1437317   -19.70   0.000    -3.112961   -2.549543
----------------------------------------------------------------------------------------
Note: 205 failures and 0 successes completely determined.

.                 /* Model Fit */         
> /* Table A.2 */
>         /* Load alliance data */
>         use NiemanGibler_demdiff_ally, clear;

.                 /* Replicate Leeds et al (Model 1) to identify shared observations*/
>                 #delimit;
delimiter now ;
.                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(230 missing values generated)

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate TerrThreat2 num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -372.12723  
Iteration 2:   log pseudolikelihood = -367.23431  
Iteration 3:   log pseudolikelihood = -367.12351  
Iteration 4:   log pseudolikelihood = -367.12322  
Iteration 5:   log pseudolikelihood = -367.12322  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      68.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -367.12322               Pseudo R2         =     0.0755

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       TerrThreat2 |    4.01077    .916538     4.38   0.000     2.214388    5.807151
num_dems_on_border |  -.2410896   .1509834    -1.60   0.110    -.5370117    .0548325
       num_borders |   .0093427   .0601482     0.16   0.877    -.1085455     .127231
           coldwar |  -.0707733   .2510075    -0.28   0.778    -.5627389    .4211923
       Lenergy_pop |  -.2073064   .0706459    -2.93   0.003    -.3457699   -.0688429
           Oil_exp |   .3122076   .3221711     0.97   0.333    -.3192361    .9436514
           maj_pow |   .5734007   .3625857     1.58   0.114    -.1372543    1.284056
         kgd_rival |   .2830081   .3562347     0.79   0.427     -.415199    .9812153
             _cons |  -5.258307   .3515344   -14.96   0.000    -5.947302   -4.569313
------------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;
(224 missing values generated)

.                 matrix B1 = e(b);

.                 /* Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /* Rerun on Leeds et al on same sample (GL) (Model 2)*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 estimates store LMV2;

.                 matrix B2 = e(b);

.                 /* generate individual likelihoods */
>                         gen double lnfj_lmv = .;
(6,842 missing values generated)

.                         replace  lnfj_lmv = ln(1/(1+exp((_b[wcchangedA]*wcchangedA + _b[capcheither20]*capcheither20 + _b[regchangeeither]*regchangeeither 
>                                                         + _b[chTEAltorBmt]*chTEAltorBmt + _b[alformA]*alformA + _b[demdA]*demdA + _b[asymmetry]*asymmetry 
>                                                         + _b[nomicoop]*nomicoop + _b[treaty]*treaty + _b[milinst]*milinst + _b[time]*time 
>                                                         + _b[timesquare]*timesquare + _b[timecube]*timecube + _b[_cons])))) if GL==1 & violate==0;
(6,327 real changes made)

.                         replace  lnfj_lmv = ln(1/(1+exp(-(_b[wcchangedA]*wcchangedA + _b[capcheither20]*capcheither20 + _b[regchangeeither]*regchangeeither 
>                                                         + _b[chTEAltorBmt]*chTEAltorBmt + _b[alformA]*alformA + _b[demdA]*demdA + _b[asymmetry]*asymmetry 
>                                                         + _b[nomicoop]*nomicoop + _b[treaty]*treaty + _b[milinst]*milinst + _b[time]*time 
>                                                         + _b[timesquare]*timesquare + _b[timecube]*timecube + _b[_cons])))) if GL==1 & violate==1;
(68 real changes made)

.                 /* Estimate Model 3 with average of Territorial Threat draws */                                 
>                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 B1 , copy ;

.                 ml search;
initial:       log pseudolikelihood = -550.88115
rescale:       log pseudolikelihood = -339.00225
rescale eq:    log pseudolikelihood = -339.00225

.                 ml maximize, diff;

initial:       log pseudolikelihood = -339.00225
rescale:       log pseudolikelihood = -339.00225
rescale eq:    log pseudolikelihood = -339.00225
Iteration 0:   log pseudolikelihood = -339.00225  
Iteration 1:   log pseudolikelihood = -320.80562  (not concave)
Iteration 2:   log pseudolikelihood = -320.11618  (not concave)
Iteration 3:   log pseudolikelihood = -319.87365  (not concave)
Iteration 4:   log pseudolikelihood = -319.75504  (not concave)
Iteration 5:   log pseudolikelihood =  -319.6027  (not concave)
Iteration 6:   log pseudolikelihood = -319.41023  (not concave)
Iteration 7:   log pseudolikelihood = -319.30725  (not concave)
Iteration 8:   log pseudolikelihood = -319.03228  (not concave)
Iteration 9:   log pseudolikelihood = -318.67109  (not concave)
Iteration 10:  log pseudolikelihood =   -318.559  (not concave)
Iteration 11:  log pseudolikelihood =  -318.4352  (not concave)
Iteration 12:  log pseudolikelihood = -318.31085  (not concave)
Iteration 13:  log pseudolikelihood = -317.24773  (not concave)
Iteration 14:  log pseudolikelihood = -316.69662  (not concave)
Iteration 15:  log pseudolikelihood = -316.56175  (not concave)
Iteration 16:  log pseudolikelihood = -316.41994  (not concave)
Iteration 17:  log pseudolikelihood = -316.28202  (not concave)
Iteration 18:  log pseudolikelihood = -316.14638  (not concave)
Iteration 19:  log pseudolikelihood = -316.01038  
Iteration 20:  log pseudolikelihood = -312.59327  
Iteration 21:  log pseudolikelihood = -307.50921  
Iteration 22:  log pseudolikelihood = -307.38381  
Iteration 23:  log pseudolikelihood = -306.81352  
Iteration 24:  log pseudolikelihood = -306.79362  
Iteration 25:  log pseudolikelihood = -306.79328  
Iteration 26:  log pseudolikelihood = -306.79328  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      38.87
Log pseudolikelihood = -306.79328               Prob > chi2       =     0.0002

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.537016   5.376083     1.03   0.303    -4.999914    16.07395
     capcheither20 |   2.981751   2.149823     1.39   0.165    -1.231825    7.195327
   regchangeeither |   1.698887   1.247071     1.36   0.173    -.7453284    4.143101
      chTEAltorBmt |    .756424   1.223189     0.62   0.536    -1.640982    3.153831
           alformA |   2.433113   1.543295     1.58   0.115    -.5916896    5.457916
             demdA |   1.369344   1.884781     0.73   0.468    -2.324759    5.063447
         asymmetry |  -1.628514    .895838    -1.82   0.069    -3.384324    .1272964
          nomicoop |  -2.655411   1.195983    -2.22   0.026    -4.999494   -.3113278
            treaty |   1.545886   2.301895     0.67   0.502    -2.965746    6.057518
           milinst |   4.945485   2.325106     2.13   0.033     .3883611    9.502609
              time |  -.1213799   .2685517    -0.45   0.651    -.6477315    .4049718
        timesquare |  -.0027438   .0100283    -0.27   0.784    -.0223988    .0169113
          timecube |   .0000848   .0001224     0.69   0.489    -.0001551    .0003246
             _cons |  -3.229341   1.494922    -2.16   0.031    -6.159335    -.299347
-------------------+----------------------------------------------------------------
G                  |
    Threat_combine |   4.115597   .9932505     4.14   0.000     2.168862    6.062333
num_dems_on_border |  -.2907907   .1220496    -2.38   0.017    -.5300035   -.0515779
       num_borders |    .120902    .061761     1.96   0.050    -.0001473    .2419512
           coldwar |   .4496768   .3050631     1.47   0.140    -.1482358    1.047589
       Lenergy_pop |  -.1530305   .0830581    -1.84   0.065    -.3158214    .0097605
           Oil_exp |   .6741907   .5050256     1.33   0.182    -.3156413    1.664023
           maj_pow |   .4164218   .5096207     0.82   0.414    -.5824164     1.41526
         kgd_rival |   .0035716   .3975624     0.01   0.993    -.7756364    .7827795
             _cons |  -4.982936   .5483201    -9.09   0.000    -6.057623   -3.908248
------------------------------------------------------------------------------------

.                 /* Generate individual likelihoods */
>                         /* split-sample */
>                         gen double G = 1/(1+exp(-([G]_b[Threat_combine]*Threat_combine +[G]_b[num_dems_on_border]*num_dems_on_border 
>                                                         + [G]_b[num_borders]*num_borders 
>                                                         + [G]_b[cold]*cold + [G]_b[Lenergy_pop]*Lenergy_pop
>                                                         + [G]_b[Oil_exp]*Oil_exp +[G]_b[maj_pow]*maj_pow + [G]_b[kgd_riv]*kgd_riv 
>                                                         + [G]_b[_cons]))) if GL==1;
(447 missing values generated)

.                         gen double B = 1/(1+exp(-([B]_b[wcchangedA]*wcchangedA + [B]_b[capcheither20]*capcheither20 + [B]_b[regchangeeither]*regchangeeither 
>                                                         + [B]_b[chTEAltorBmt]*chTEAltorBmt + [B]_b[alformA]*alformA + [B]_b[demdA]*demdA + [B]_b[asymmetry]*asymmetry 
>                                                         + [B]_b[nomicoop]*nomicoop + [B]_b[treaty]*treaty + [B]_b[milinst]*milinst + [B]_b[time]*time 
>                                                         + [B]_b[timesquare]*timesquare + [B]_b[timecube]*timecube + [B]_b[_cons]))) if GL==1;
(447 missing values generated)

.                         gen double lnfj_full = .;
(6,842 missing values generated)

.                                 replace lnfj_full = ln((1-G)+G*(1-B)) if violate==0 & GL==1;
(6,327 real changes made)

.                                 replace lnfj_full = ln((G*B)) if violate==1 & GL==1;
(68 real changes made)

.         /* Model Comparisons*/
>                 /* Clarke test (with Schwarz correction)*/
>                 gen double lnfj_full_adj = lnfj_full*(23/(2*6395))*ln(6395);
(447 missing values generated)

.                 gen double lnfj_lmv_adj = lnfj_lmv*(14/(2*6395))*ln(6395);
(447 missing values generated)

.                 signtest lnfj_full_adj=lnfj_lmv_adj;

Sign test

        sign |    observed    expected
-------------+------------------------
    positive |        3555      3197.5
    negative |        2840      3197.5
        zero |           0           0
-------------+------------------------
         all |        6395        6395

One-sided tests:
  Ho: median of lnfj_ful~j - lnfj_lmv_adj = 0 vs.
  Ha: median of lnfj_ful~j - lnfj_lmv_adj > 0
      Pr(#positive >= 3555) =
         Binomial(n = 6395, x >= 3555, p = 0.5) =  0.0000

  Ho: median of lnfj_ful~j - lnfj_lmv_adj = 0 vs.
  Ha: median of lnfj_ful~j - lnfj_lmv_adj < 0
      Pr(#negative >= 2840) =
         Binomial(n = 6395, x >= 2840, p = 0.5) =  1.0000

Two-sided test:
  Ho: median of lnfj_ful~j - lnfj_lmv_adj = 0 vs.
  Ha: median of lnfj_ful~j - lnfj_lmv_adj != 0
      Pr(#positive >= 3555 or #negative >= 3555) =
         min(1, 2*Binomial(n = 6395, x >= 3555, p = 0.5)) =  0.0000

.                 /* Robustness and Validity Checks */
> /* Figure A.1 */
>         /* Compare kernel density of alliance violators to sample average - Terr Threat */
>         twoway kdensity Threat_combine if violate==1 & GL==1, sort lpattern(solid) lwidth(thick) || kdensity Threat_combine if violate==0 & GL==1, sort scheme(s1mono) lpattern(dash)
>                                         ytitle("Kernel Density") xtitle("Territorial Threat") 
>                                         note("Note: The mean territorial threat for alliance violators is 0.218 with a standard deviation of 0.190,"
>                                                  "while the mean for non-violators is 0.108 with a standard deviation of 0.125. A difference of means"
>                                                  "between the two samples statistically significant at p < 0.001.")
>                                         legend(lab(1  "Violators") lab(2 "Non-violators") symx(*.5));

.         graph save figA1, replace asis;
file figA1.gph saved

.         /* Table A.3*/  
>         /* Note: Relevance is calculated by looking at predicted probabilities using 
>         only the relevancy equation ("G" from the split-sample portion of the individual likelihoods) */
>         /* Top 15 state-year observations of relevance from sample */
>         keep if GL==1;
(447 observations deleted)

.         collapse (max) Threat_combine G, by(ccode1 year);

.                 sort G;

.         list ccode1 year G in -15/L;

      +---------------------------+
      | ccode1   year           G |
      |---------------------------|
2427. |    710   1965   .19036052 |
2428. |    710   1978   .19618926 |
2429. |    710   1987   .20540401 |
2430. |    365   1979   .20714118 |
2431. |    710   1967   .20932041 |
      |---------------------------|
2432. |    710   1981    .2097694 |
2433. |    220   1940   .21601684 |
2434. |    710   1968   .21751102 |
2435. |    710   1980   .22868858 |
2436. |    710   1979     .229002 |
      |---------------------------|
2437. |    365   1981   .23611229 |
2438. |    365   1980   .25850593 |
2439. |    365   1941   .26586067 |
2440. |    255   1940   .32156355 |
2441. |    365   1940   .34571495 |
      +---------------------------+

.         /* Table A.4 */
>         /* Top 15 state-year observations of threat from sample */
>         sort Threat_combine;

.         list ccode1 year Threat_combine in -15/L;

      +--------------------------+
      | ccode1   year   Threat~e |
      |--------------------------|
2427. |    310   1945   .5167252 |
2428. |    310   1941   .5275977 |
2429. |    710   1944   .5318958 |
2430. |    365   1944   .5318958 |
2431. |    345   1941   .5692317 |
      |--------------------------|
2432. |    710   1945   .5718275 |
2433. |    365   1945   .5718984 |
2434. |    325   1941   .5989665 |
2435. |    230   1941   .5989665 |
2436. |    365   1941   .5989665 |
      |--------------------------|
2437. |    255   1941   .5989665 |
2438. |    365   1940   .6034602 |
2439. |    325   1940   .6034602 |
2440. |    220   1940   .7137477 |
2441. |    255   1940   .7180079 |
      +--------------------------+

.         /* Table A.5 */
>         /* Load data set*/      
>         use NiemanGibler_demdiff_ally, clear;

.         /* Simple */
>                 /* Replicate Leeds et al to identify shared observations*/
>                 logit violate  wcchangedA demdA time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -408.57937  
Iteration 1:   log pseudolikelihood = -400.65014  
Iteration 2:   log pseudolikelihood = -399.70288  
Iteration 3:   log pseudolikelihood = -399.69803  
Iteration 4:   log pseudolikelihood = -399.69802  

Logistic regression                             Number of obs     =      6,842
                                                Wald chi2(5)      =      12.77
                                                Prob > chi2       =     0.0256
Log pseudolikelihood = -399.69802               Pseudo R2         =     0.0217

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
     violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  wcchangedA |   1.056117   .4297823     2.46   0.014     .2137595    1.898475
       demdA |  -.9239914   .3756923    -2.46   0.014    -1.660335   -.1876481
        time |   .0060556   .0653227     0.09   0.926    -.1219745    .1340857
  timesquare |  -.0034716   .0042873    -0.81   0.418    -.0118746    .0049313
    timecube |   .0000731   .0000663     1.10   0.270    -.0000567     .000203
       _cons |  -4.198133   .2536965   -16.55   0.000    -4.695369   -3.700897
------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate TerrThreat1  
>                         , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -408.57937  
Iteration 1:   log pseudolikelihood = -400.80705  
Iteration 2:   log pseudolikelihood = -391.17047  
Iteration 3:   log pseudolikelihood = -391.13726  
Iteration 4:   log pseudolikelihood = -391.13725  

Logistic regression                             Number of obs     =      6,842
                                                Wald chi2(1)      =      37.96
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -391.13725               Pseudo R2         =     0.0427

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
     violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 TerrThreat1 |    4.55753   .7397558     6.16   0.000     3.107635    6.007425
       _cons |   -5.20344   .1929055   -26.97   0.000    -5.581528   -4.825352
------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;

.                 matrix B1 = e(b);

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,842 real changes made)

.                 /* Rerun on Leeds et al on same sample (GL) to get starting values */
>                 logit violate  wcchangedA demdA time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -408.57937  
Iteration 1:   log pseudolikelihood = -400.65014  
Iteration 2:   log pseudolikelihood = -399.70288  
Iteration 3:   log pseudolikelihood = -399.69803  
Iteration 4:   log pseudolikelihood = -399.69802  

Logistic regression                             Number of obs     =      6,842
                                                Wald chi2(5)      =      12.77
                                                Prob > chi2       =     0.0256
Log pseudolikelihood = -399.69802               Pseudo R2         =     0.0217

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
     violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  wcchangedA |   1.056117   .4297823     2.46   0.014     .2137595    1.898475
       demdA |  -.9239914   .3756923    -2.46   0.014    -1.660335   -.1876481
        time |   .0060556   .0653227     0.09   0.926    -.1219745    .1340857
  timesquare |  -.0034716   .0042873    -0.81   0.418    -.0118746    .0049313
    timecube |   .0000731   .0000663     1.10   0.270    -.0000567     .000203
       _cons |  -4.198133   .2536965   -16.55   0.000    -4.695369   -3.700897
------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                                 /* Simple model */
>                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA demdA time timesquare timecube)
>                         (G: violate = TerrThreat`i' )if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                         matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -644.98257
rescale:       log pseudolikelihood = -393.86265
rescale eq:    log pseudolikelihood = -393.86265

initial:       log pseudolikelihood = -393.86265
rescale:       log pseudolikelihood = -393.86265
rescale eq:    log pseudolikelihood = -393.86265
Iteration 0:   log pseudolikelihood = -393.86265  
Iteration 1:   log pseudolikelihood = -386.41035  (not concave)
Iteration 2:   log pseudolikelihood = -386.26749  
Iteration 3:   log pseudolikelihood = -385.80716  
Iteration 4:   log pseudolikelihood = -385.80203  
Iteration 5:   log pseudolikelihood = -385.80192  
Iteration 6:   log pseudolikelihood = -385.80192  

                                                Number of obs     =      6,842
                                                Wald chi2(5)      =       9.84
Log pseudolikelihood = -385.80192               Prob > chi2       =     0.0800

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
B            |
  wcchangedA |   1.126697   .4709747     2.39   0.017     .2036037    2.049791
       demdA |  -.5078043   .4494802    -1.13   0.259    -1.388769    .3731608
        time |   .0300088   .0724708     0.41   0.679    -.1120314    .1720489
  timesquare |  -.0048902   .0046104    -1.06   0.289    -.0139263    .0041459
    timecube |   .0000906   .0000696     1.30   0.193    -.0000457     .000227
       _cons |  -1.763572   .9782282    -1.80   0.071    -3.680864    .1537204
-------------+----------------------------------------------------------------
G            |
 TerrThreat1 |   4.816921   .7659867     6.29   0.000     3.315614    6.318227
       _cons |  -3.061383   .9259008    -3.31   0.001    -4.876115   -1.246651
------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -644.62271
rescale:       log pseudolikelihood =  -393.1581
rescale eq:    log pseudolikelihood =  -393.1581

initial:       log pseudolikelihood =  -393.1581
rescale:       log pseudolikelihood =  -393.1581
rescale eq:    log pseudolikelihood =  -393.1581
Iteration 0:   log pseudolikelihood =  -393.1581  
Iteration 1:   log pseudolikelihood =   -384.841  (not concave)
Iteration 2:   log pseudolikelihood = -384.71748  
Iteration 3:   log pseudolikelihood = -384.15295  
Iteration 4:   log pseudolikelihood = -384.11905  
Iteration 5:   log pseudolikelihood = -384.11869  
Iteration 6:   log pseudolikelihood = -384.11869  

                                                Number of obs     =      6,842
                                                Wald chi2(5)      =      10.16
Log pseudolikelihood = -384.11869               Prob > chi2       =     0.0707

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
B            |
  wcchangedA |   1.158316   .4859602     2.38   0.017     .2058519    2.110781
       demdA |  -.4563286   .4799955    -0.95   0.342    -1.397102    .4844452
        time |   .0294589   .0750392     0.39   0.695    -.1176152    .1765329
  timesquare |  -.0048974   .0047161    -1.04   0.299    -.0141409     .004346
    timecube |   .0000909   .0000706     1.29   0.198    -.0000476    .0002293
       _cons |  -1.427237   .9797239    -1.46   0.145    -3.347461    .4929862
-------------+----------------------------------------------------------------
G            |
 TerrThreat2 |   4.877979   .7241446     6.74   0.000     3.458682    6.297277
       _cons |  -3.370784   .8848011    -3.81   0.000    -5.104962   -1.636606
------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -643.03645
rescale:       log pseudolikelihood = -393.45557
rescale eq:    log pseudolikelihood = -393.45557

initial:       log pseudolikelihood = -393.45557
rescale:       log pseudolikelihood = -393.45557
rescale eq:    log pseudolikelihood = -393.45557
Iteration 0:   log pseudolikelihood = -393.45557  
Iteration 1:   log pseudolikelihood = -386.62927  (not concave)
Iteration 2:   log pseudolikelihood = -386.43684  (not concave)
Iteration 3:   log pseudolikelihood = -386.42758  (not concave)
Iteration 4:   log pseudolikelihood = -386.41936  (not concave)
Iteration 5:   log pseudolikelihood =   -386.411  (not concave)
Iteration 6:   log pseudolikelihood = -386.40461  
Iteration 7:   log pseudolikelihood =  -386.3287  
Iteration 8:   log pseudolikelihood = -386.24558  
Iteration 9:   log pseudolikelihood = -386.15394  
Iteration 10:  log pseudolikelihood =  -386.1489  
Iteration 11:  log pseudolikelihood =  -386.1487  
Iteration 12:  log pseudolikelihood =  -386.1487  

                                                Number of obs     =      6,842
                                                Wald chi2(5)      =       9.55
Log pseudolikelihood =  -386.1487               Prob > chi2       =     0.0891

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
B            |
  wcchangedA |   1.119305    .468199     2.39   0.017     .2016513    2.036958
       demdA |  -.5424182    .435116    -1.25   0.213     -1.39523    .3103935
        time |   .0308018   .0713362     0.43   0.666    -.1090146    .1706183
  timesquare |  -.0048998    .004573    -1.07   0.284    -.0138626    .0040631
    timecube |   .0000907   .0000693     1.31   0.190    -.0000451    .0002265
       _cons |  -1.987814   1.000961    -1.99   0.047    -3.949662   -.0259654
-------------+----------------------------------------------------------------
G            |
 TerrThreat3 |   4.589213   .8052521     5.70   0.000     3.010948    6.167478
       _cons |  -2.820343   .9545596    -2.95   0.003    -4.691245   -.9494406
------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -640.30222
rescale:       log pseudolikelihood =  -392.1777
rescale eq:    log pseudolikelihood =  -392.1777

initial:       log pseudolikelihood =  -392.1777
rescale:       log pseudolikelihood =  -392.1777
rescale eq:    log pseudolikelihood =  -392.1777
Iteration 0:   log pseudolikelihood =  -392.1777  
Iteration 1:   log pseudolikelihood = -384.30586  (not concave)
Iteration 2:   log pseudolikelihood = -384.08982  (not concave)
Iteration 3:   log pseudolikelihood = -384.07562  (not concave)
Iteration 4:   log pseudolikelihood = -384.06529  
Iteration 5:   log pseudolikelihood = -383.80721  
Iteration 6:   log pseudolikelihood = -383.69108  
Iteration 7:   log pseudolikelihood = -383.68103  
Iteration 8:   log pseudolikelihood = -383.68098  
Iteration 9:   log pseudolikelihood = -383.68098  

                                                Number of obs     =      6,842
                                                Wald chi2(5)      =       9.90
Log pseudolikelihood = -383.68098               Prob > chi2       =     0.0780

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
B            |
  wcchangedA |   1.144077   .4785512     2.39   0.017     .2061337     2.08202
       demdA |  -.4777534   .4586768    -1.04   0.298    -1.376743    .4212366
        time |   .0296769   .0730976     0.41   0.685    -.1135919    .1729456
  timesquare |  -.0049012   .0046429    -1.06   0.291    -.0140012    .0041988
    timecube |   .0000907   .0000699     1.30   0.195    -.0000464    .0002278
       _cons |  -1.638354   1.016284    -1.61   0.107    -3.630234    .3535259
-------------+----------------------------------------------------------------
G            |
 TerrThreat4 |   4.739841   .7228199     6.56   0.000      3.32314    6.156542
       _cons |  -3.197859   .9219508    -3.47   0.001     -5.00485   -1.390869
------------------------------------------------------------------------------
.initial:      log pseudolikelihood =  -644.1426
rescale:       log pseudolikelihood = -393.59324
rescale eq:    log pseudolikelihood = -393.59324

initial:       log pseudolikelihood = -393.59324
rescale:       log pseudolikelihood = -393.59324
rescale eq:    log pseudolikelihood = -393.59324
Iteration 0:   log pseudolikelihood = -393.59324  
Iteration 1:   log pseudolikelihood = -386.47114  (not concave)
Iteration 2:   log pseudolikelihood = -386.28529  
Iteration 3:   log pseudolikelihood =  -386.1956  
Iteration 4:   log pseudolikelihood = -386.00578  
Iteration 5:   log pseudolikelihood =  -385.9864  
Iteration 6:   log pseudolikelihood = -385.98607  
Iteration 7:   log pseudolikelihood = -385.98607  

                                                Number of obs     =      6,842
                                                Wald chi2(5)      =      10.44
Log pseudolikelihood = -385.98607               Prob > chi2       =     0.0637

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
B            |
  wcchangedA |   1.165517    .474688     2.46   0.014     .2351452    2.095888
       demdA |  -.5064232   .4612112    -1.10   0.272    -1.410381    .3975342
        time |   .0252783   .0732238     0.35   0.730    -.1182378    .1687943
  timesquare |   -.004719   .0046529    -1.01   0.310    -.0138385    .0044005
    timecube |   .0000887   .0000702     1.26   0.206    -.0000489    .0002263
       _cons |  -1.644512   .9766457    -1.68   0.092    -3.558702    .2696787
-------------+----------------------------------------------------------------
G            |
 TerrThreat5 |   4.493694   .6998696     6.42   0.000     3.121975    5.865413
       _cons |  -3.109016   .9140909    -3.40   0.001    -4.900601   -1.317431
------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       1.143*\\
            &     (0.476) \\
demdA       &      -0.498 \\
            &     (0.459) \\
time        &       0.029 \\
            &     (0.073) \\
timesquare  &      -0.005 \\
            &     (0.005) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -1.692 \\
            &     (1.016) \\
G           &             \\
TerrThreat5 &       4.704*\\
            &     (0.765) \\
_cons       &      -3.112*\\
            &     (0.947) \\

.                         matrix rename ll ll_rub_simple;

.                         estimates store simple;

.                 matrix list ll_rub_simple;

symmetric ll_rub_simple[1,1]
            c1
r1  -385.14727

.                                         /*Democratic Development*/
>                 logit violate TerrThreat1 num_dems_on_border num_borders
>                         , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -403.72333  
Iteration 1:   log pseudolikelihood = -395.69391  
Iteration 2:   log pseudolikelihood = -381.50314  
Iteration 3:   log pseudolikelihood = -381.46562  
Iteration 4:   log pseudolikelihood =  -381.4656  

Logistic regression                             Number of obs     =      6,811
                                                Wald chi2(3)      =      47.10
                                                Prob > chi2       =     0.0000
Log pseudolikelihood =  -381.4656               Pseudo R2         =     0.0551

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       TerrThreat1 |   4.478719   .9621874     4.65   0.000     2.592866    6.364571
num_dems_on_border |   -.303524   .1563353    -1.94   0.052    -.6099356    .0028876
       num_borders |   .0525914    .061722     0.85   0.394    -.0683816    .1735643
             _cons |  -5.118872   .2316011   -22.10   0.000    -5.572802   -4.664943
------------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA demdA time timesquare timecube)
>                         (G: violate = TerrThreat`i' num_dems_on_border num_borders) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -632.29735
rescale:       log pseudolikelihood = -386.75733
rescale eq:    log pseudolikelihood = -386.75733

initial:       log pseudolikelihood = -386.75733
rescale:       log pseudolikelihood = -386.75733
rescale eq:    log pseudolikelihood = -386.75733
Iteration 0:   log pseudolikelihood = -386.75733  
Iteration 1:   log pseudolikelihood = -378.01722  (not concave)
Iteration 2:   log pseudolikelihood = -377.69659  
Iteration 3:   log pseudolikelihood = -377.40438  
Iteration 4:   log pseudolikelihood = -377.04156  
Iteration 5:   log pseudolikelihood = -376.99951  
Iteration 6:   log pseudolikelihood = -376.94297  
Iteration 7:   log pseudolikelihood = -376.92283  
Iteration 8:   log pseudolikelihood = -376.91592  
Iteration 9:   log pseudolikelihood =  -376.9138  
Iteration 10:  log pseudolikelihood =  -376.9133  
Iteration 11:  log pseudolikelihood =  -376.9132  
Iteration 12:  log pseudolikelihood = -376.91318  

                                                Number of obs     =      6,811
                                                Wald chi2(5)      =      16.86
Log pseudolikelihood = -376.91318               Prob > chi2       =     0.0048

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   11.54881   6.889846     1.68   0.094    -1.955043    25.05266
             demdA |   .5619091   .8265872     0.68   0.497    -1.058172     2.18199
              time |   .0531575   .1094744     0.49   0.627    -.1614084    .2677233
        timesquare |  -.0064565   .0064685    -1.00   0.318    -.0191345    .0062214
          timecube |   .0001123   .0000911     1.23   0.217    -.0000662    .0002908
             _cons |  -.3968341   .7472475    -0.53   0.595    -1.861412    1.067744
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat1 |   4.350167   .9882309     4.40   0.000      2.41327    6.287064
num_dems_on_border |  -.3511085   .1547109    -2.27   0.023    -.6543362   -.0478808
       num_borders |   .0871107   .0663858     1.31   0.189    -.0430032    .2172245
             _cons |  -4.364884   .3831906   -11.39   0.000    -5.115924   -3.613845
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -632.03203
rescale:       log pseudolikelihood =  -386.1248
rescale eq:    log pseudolikelihood =  -386.1248

initial:       log pseudolikelihood =  -386.1248
rescale:       log pseudolikelihood =  -386.1248
rescale eq:    log pseudolikelihood =  -386.1248
Iteration 0:   log pseudolikelihood =  -386.1248  
Iteration 1:   log pseudolikelihood = -376.60171  (not concave)
Iteration 2:   log pseudolikelihood =  -376.3212  
Iteration 3:   log pseudolikelihood = -375.93672  
Iteration 4:   log pseudolikelihood = -375.53548  
Iteration 5:   log pseudolikelihood =  -375.4828  
Iteration 6:   log pseudolikelihood = -375.42113  
Iteration 7:   log pseudolikelihood = -375.39334  
Iteration 8:   log pseudolikelihood =  -375.3846  
Iteration 9:   log pseudolikelihood = -375.38304  
Iteration 10:  log pseudolikelihood = -375.38275  
Iteration 11:  log pseudolikelihood = -375.38269  
Iteration 12:  log pseudolikelihood = -375.38268  

                                                Number of obs     =      6,811
                                                Wald chi2(5)      =      24.13
Log pseudolikelihood = -375.38268               Prob > chi2       =     0.0002

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   12.30644   5.273165     2.33   0.020      1.97123    22.64165
             demdA |   .5770166   .8449285     0.68   0.495    -1.079013    2.233046
              time |   .0578343   .1103363     0.52   0.600    -.1584209    .2740896
        timesquare |  -.0066159   .0065259    -1.01   0.311    -.0194064    .0061745
          timecube |   .0001141   .0000918     1.24   0.214    -.0000657     .000294
             _cons |  -.3895885   .7482447    -0.52   0.603    -1.856121    1.076944
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat2 |   4.497902   .8917637     5.04   0.000     2.750077    6.245726
num_dems_on_border |  -.3282253   .1519758    -2.16   0.031    -.6260924   -.0303582
       num_borders |   .0788674   .0640812     1.23   0.218    -.0467294    .2044642
             _cons |  -4.367907   .3843048   -11.37   0.000    -5.121131   -3.614684
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -630.39615
rescale:       log pseudolikelihood = -386.35274
rescale eq:    log pseudolikelihood = -386.35274

initial:       log pseudolikelihood = -386.35274
rescale:       log pseudolikelihood = -386.35274
rescale eq:    log pseudolikelihood = -386.35274
Iteration 0:   log pseudolikelihood = -386.35274  
Iteration 1:   log pseudolikelihood =   -378.361  (not concave)
Iteration 2:   log pseudolikelihood = -378.08046  
Iteration 3:   log pseudolikelihood = -377.81979  
Iteration 4:   log pseudolikelihood = -377.58252  
Iteration 5:   log pseudolikelihood = -377.54546  
Iteration 6:   log pseudolikelihood =  -377.5104  
Iteration 7:   log pseudolikelihood =  -377.5073  
Iteration 8:   log pseudolikelihood = -377.49088  
Iteration 9:   log pseudolikelihood =  -377.4886  
Iteration 10:  log pseudolikelihood = -377.48734  
Iteration 11:  log pseudolikelihood = -377.48702  
Iteration 12:  log pseudolikelihood = -377.48694  
Iteration 13:  log pseudolikelihood = -377.48693  

                                                Number of obs     =      6,811
                                                Wald chi2(5)      =      10.44
Log pseudolikelihood = -377.48693               Prob > chi2       =     0.0638

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   11.55096   11.96757     0.97   0.334    -11.90505    35.00697
             demdA |   .5062833   .8135226     0.62   0.534    -1.088192    2.100758
              time |   .0522543   .1103385     0.47   0.636    -.1640051    .2685137
        timesquare |  -.0063924   .0065129    -0.98   0.326    -.0191575    .0063727
          timecube |   .0001113   .0000916     1.22   0.224    -.0000682    .0002908
             _cons |  -.3775545   .7537078    -0.50   0.616    -1.854795    1.099686
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat3 |   4.021056   .9431063     4.26   0.000     2.172601     5.86951
num_dems_on_border |  -.3532875   .1539213    -2.30   0.022    -.6549677   -.0516073
       num_borders |   .0858269   .0659099     1.30   0.193    -.0433541     .215008
             _cons |   -4.32655   .3828566   -11.30   0.000    -5.076935   -3.576165
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -627.80968
rescale:       log pseudolikelihood = -385.18613
rescale eq:    log pseudolikelihood = -385.18613

initial:       log pseudolikelihood = -385.18613
rescale:       log pseudolikelihood = -385.18613
rescale eq:    log pseudolikelihood = -385.18613
Iteration 0:   log pseudolikelihood = -385.18613  
Iteration 1:   log pseudolikelihood = -376.25733  (not concave)
Iteration 2:   log pseudolikelihood =  -376.0257  (not concave)
Iteration 3:   log pseudolikelihood = -375.97418  
Iteration 4:   log pseudolikelihood = -375.67727  
Iteration 5:   log pseudolikelihood = -375.38233  
Iteration 6:   log pseudolikelihood = -375.36788  
Iteration 7:   log pseudolikelihood = -375.33817  
Iteration 8:   log pseudolikelihood = -375.32982  
Iteration 9:   log pseudolikelihood = -375.31977  
Iteration 10:  log pseudolikelihood =  -375.3174  
Iteration 11:  log pseudolikelihood = -375.31567  
Iteration 12:  log pseudolikelihood =  -375.3153  
Iteration 13:  log pseudolikelihood = -375.31501  
Iteration 14:  log pseudolikelihood =   -375.315  

                                                Number of obs     =      6,811
                                                Wald chi2(5)      =       7.08
Log pseudolikelihood =   -375.315               Prob > chi2       =     0.2147

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |    12.4053   21.72963     0.57   0.568      -30.184     54.9946
             demdA |     .50741   .8262135     0.61   0.539    -1.111939    2.126759
              time |   .0559311   .1108066     0.50   0.614    -.1612458     .273108
        timesquare |  -.0065953   .0065373    -1.01   0.313    -.0194082    .0062176
          timecube |   .0001139   .0000919     1.24   0.215    -.0000662     .000294
             _cons |  -.3530848   .7578601    -0.47   0.641    -1.838463    1.132294
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat4 |   4.285523   .8522875     5.03   0.000      2.61507    5.955976
num_dems_on_border |  -.3262961   .1560612    -2.09   0.037    -.6321704   -.0204217
       num_borders |   .0739324   .0654608     1.13   0.259    -.0543684    .2022331
             _cons |  -4.360233   .3825499   -11.40   0.000    -5.110017   -3.610449
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood =   -631.519
rescale:       log pseudolikelihood = -386.50722
rescale eq:    log pseudolikelihood = -386.50722

initial:       log pseudolikelihood = -386.50722
rescale:       log pseudolikelihood = -386.50722
rescale eq:    log pseudolikelihood = -386.50722
Iteration 0:   log pseudolikelihood = -386.50722  
Iteration 1:   log pseudolikelihood = -378.10337  (not concave)
Iteration 2:   log pseudolikelihood = -377.84785  
Iteration 3:   log pseudolikelihood = -377.73595  
Iteration 4:   log pseudolikelihood = -377.17648  
Iteration 5:   log pseudolikelihood = -377.13228  
Iteration 6:   log pseudolikelihood = -377.08375  
Iteration 7:   log pseudolikelihood = -377.06757  
Iteration 8:   log pseudolikelihood = -377.06282  
Iteration 9:   log pseudolikelihood = -377.06098  
Iteration 10:  log pseudolikelihood = -377.06056  
Iteration 11:  log pseudolikelihood = -377.06047  
Iteration 12:  log pseudolikelihood = -377.06045  

                                                Number of obs     =      6,811
                                                Wald chi2(5)      =      22.15
Log pseudolikelihood = -377.06045               Prob > chi2       =     0.0005

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   11.81593    5.64817     2.09   0.036     .7457248    22.88614
             demdA |   .5722779   .8333396     0.69   0.492    -1.061038    2.205594
              time |    .047786   .1086759     0.44   0.660    -.1652148    .2607869
        timesquare |  -.0062423    .006432    -0.97   0.332    -.0188488    .0063641
          timecube |   .0001099   .0000908     1.21   0.226     -.000068    .0002879
             _cons |  -.3829827   .7555082    -0.51   0.612    -1.863752    1.097786
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat5 |   4.196686   .9689869     4.33   0.000     2.297506    6.095865
num_dems_on_border |  -.3487195   .1554208    -2.24   0.025    -.6533386   -.0441004
       num_borders |   .0808062   .0678214     1.19   0.233    -.0521213    .2137337
             _cons |  -4.304847   .3793875   -11.35   0.000    -5.048433   -3.561261
------------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &      11.925 \\
            &    (12.030) \\
demdA       &       0.545 \\
            &     (0.830) \\
time        &       0.053 \\
            &     (0.110) \\
timesquare  &      -0.006 \\
            &     (0.006) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -0.380 \\
            &     (0.753) \\
G           &             \\
TerrThreat5 &       4.270*\\
            &     (0.950) \\
num_dems_on_border&      -0.342*\\
            &     (0.155) \\
num_borders &       0.081 \\
            &     (0.066) \\
_cons       &      -4.345*\\
            &     (0.384) \\

.                         matrix rename ll ll_rub_demdev;

.                                         estimates store demdev;

.                 matrix list ll_rub_demdev;

symmetric ll_rub_demdev[1,1]
            c1
r1  -376.43165

.                                 /* Full Relevance */
>                 logit violate TerrThreat1 num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv
>                         , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -391.95353  
Iteration 2:   log pseudolikelihood = -368.56139  
Iteration 3:   log pseudolikelihood = -368.48767  
Iteration 4:   log pseudolikelihood = -368.48762  
Iteration 5:   log pseudolikelihood = -368.48762  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      60.83
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -368.48762               Pseudo R2         =     0.0721

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       TerrThreat1 |   3.839047    .993802     3.86   0.000     1.891231    5.786863
num_dems_on_border |  -.2648084   .1535661    -1.72   0.085    -.5657924    .0361756
       num_borders |   .0137497   .0616921     0.22   0.824    -.1071646    .1346639
           coldwar |  -.1546695   .2449386    -0.63   0.528    -.6347403    .3254013
       Lenergy_pop |  -.2039998   .0709132    -2.88   0.004    -.3429872   -.0650124
           Oil_exp |   .2972174   .3218977     0.92   0.356    -.3336904    .9281252
           maj_pow |   .6285691   .3624242     1.73   0.083    -.0817693    1.338907
         kgd_rival |   .2724547   .3586074     0.76   0.447     -.430403    .9753123
             _cons |  -5.197721   .3469894   -14.98   0.000    -5.877807   -4.517634
------------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA demdA time timesquare timecube)
>                         (G: violate = TerrThreat`i' num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -616.20962
rescale:       log pseudolikelihood = -376.19682
rescale eq:    log pseudolikelihood = -376.19682

initial:       log pseudolikelihood = -376.19682
rescale:       log pseudolikelihood = -376.19682
rescale eq:    log pseudolikelihood = -376.19682
Iteration 0:   log pseudolikelihood = -376.19682  
Iteration 1:   log pseudolikelihood = -365.71063  (not concave)
Iteration 2:   log pseudolikelihood =  -365.1955  
Iteration 3:   log pseudolikelihood =  -364.7975  
Iteration 4:   log pseudolikelihood =  -364.4809  
Iteration 5:   log pseudolikelihood = -364.45428  (backed up)
Iteration 6:   log pseudolikelihood = -364.25894  
Iteration 7:   log pseudolikelihood = -364.23254  
Iteration 8:   log pseudolikelihood = -364.22346  
Iteration 9:   log pseudolikelihood = -364.22103  
Iteration 10:  log pseudolikelihood = -364.22044  
Iteration 11:  log pseudolikelihood =  -364.2203  
Iteration 12:  log pseudolikelihood = -364.22027  

                                                Number of obs     =      6,618
                                                Wald chi2(5)      =      93.80
Log pseudolikelihood = -364.22027               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   13.64503   2.656725     5.14   0.000     8.437944    18.85211
             demdA |   .5577759   .8504014     0.66   0.512     -1.10898    2.224532
              time |   .1175897    .117243     1.00   0.316    -.1122023    .3473818
        timesquare |  -.0091198   .0068183    -1.34   0.181    -.0224834    .0042438
          timecube |   .0001423   .0000944     1.51   0.132    -.0000427    .0003274
             _cons |  -.7044341   .6975378    -1.01   0.313    -2.071583    .6627148
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat1 |   3.919329   1.002511     3.91   0.000     1.954443    5.884215
num_dems_on_border |  -.3064117   .1577396    -1.94   0.052    -.6155757    .0027523
       num_borders |   .0465363   .0694271     0.67   0.503    -.0895382    .1826109
           coldwar |  -.0625948   .2623235    -0.24   0.811    -.5767393    .4515497
       Lenergy_pop |  -.2291588   .0776057    -2.95   0.003    -.3812631   -.0770544
           Oil_exp |   .3838872   .3622963     1.06   0.289    -.3262005    1.093975
           maj_pow |   .5883014   .3785849     1.55   0.120    -.1537113    1.330314
         kgd_rival |   .2511796    .371946     0.68   0.499    -.4778212    .9801804
             _cons |  -4.517032   .4630515    -9.75   0.000    -5.424596   -3.609467
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -615.97796
rescale:       log pseudolikelihood =  -375.6925
rescale eq:    log pseudolikelihood =  -375.6925

initial:       log pseudolikelihood =  -375.6925
rescale:       log pseudolikelihood =  -375.6925
rescale eq:    log pseudolikelihood =  -375.6925
Iteration 0:   log pseudolikelihood =  -375.6925  
Iteration 1:   log pseudolikelihood = -364.52579  (not concave)
Iteration 2:   log pseudolikelihood = -364.12515  
Iteration 3:   log pseudolikelihood = -363.49156  
Iteration 4:   log pseudolikelihood =   -363.126  
Iteration 5:   log pseudolikelihood = -362.99504  
Iteration 6:   log pseudolikelihood = -362.88633  
Iteration 7:   log pseudolikelihood = -362.86064  
Iteration 8:   log pseudolikelihood = -362.85357  
Iteration 9:   log pseudolikelihood =  -362.8517  
Iteration 10:  log pseudolikelihood = -362.85134  
Iteration 11:  log pseudolikelihood = -362.85128  
Iteration 12:  log pseudolikelihood = -362.85126  

                                                Number of obs     =      6,618
                                                Wald chi2(5)      =     115.29
Log pseudolikelihood = -362.85126               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   13.57325   2.023666     6.71   0.000     9.606935    17.53956
             demdA |   .6264185   .8679779     0.72   0.470    -1.074787    2.327624
              time |   .1161433   .1155879     1.00   0.315    -.1104048    .3426914
        timesquare |  -.0089686   .0067601    -1.33   0.185     -.022218    .0042809
          timecube |   .0001405   .0000939     1.50   0.134    -.0000435    .0003245
             _cons |  -.7243508   .6870176    -1.05   0.292     -2.07088    .6221789
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat2 |   4.152626   .9424249     4.41   0.000     2.305507    5.999745
num_dems_on_border |  -.2827481   .1554125    -1.82   0.069    -.5873511    .0218548
       num_borders |   .0426191    .067442     0.63   0.527    -.0895648    .1748029
           coldwar |   .0162382   .2655213     0.06   0.951     -.504174    .5366504
       Lenergy_pop |  -.2336387   .0771553    -3.03   0.002    -.3848604    -.082417
           Oil_exp |   .4014463   .3610858     1.11   0.266    -.3062689    1.109161
           maj_pow |   .5226432    .378351     1.38   0.167    -.2189111    1.264197
         kgd_rival |   .2557669   .3701426     0.69   0.490    -.4696992    .9812331
             _cons |  -4.574024   .4668894    -9.80   0.000     -5.48911   -3.658938
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood =   -614.593
rescale:       log pseudolikelihood = -375.88223
rescale eq:    log pseudolikelihood = -375.88223

initial:       log pseudolikelihood = -375.88223
rescale:       log pseudolikelihood = -375.88223
rescale eq:    log pseudolikelihood = -375.88223
Iteration 0:   log pseudolikelihood = -375.88223  
Iteration 1:   log pseudolikelihood = -366.06482  (not concave)
Iteration 2:   log pseudolikelihood = -365.60571  
Iteration 3:   log pseudolikelihood = -365.26149  
Iteration 4:   log pseudolikelihood = -365.03816  (not concave)
Iteration 5:   log pseudolikelihood = -365.03112  
Iteration 6:   log pseudolikelihood = -364.95763  
Iteration 7:   log pseudolikelihood =  -364.8501  
Iteration 8:   log pseudolikelihood = -364.81887  
Iteration 9:   log pseudolikelihood = -364.80132  
Iteration 10:  log pseudolikelihood = -364.79711  
Iteration 11:  log pseudolikelihood = -364.79594  
Iteration 12:  log pseudolikelihood = -364.79568  
Iteration 13:  log pseudolikelihood = -364.79562  
Iteration 14:  log pseudolikelihood = -364.79561  

                                                Number of obs     =      6,618
                                                Wald chi2(5)      =      79.58
Log pseudolikelihood = -364.79561               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   13.88647   3.267116     4.25   0.000     7.483041     20.2899
             demdA |   .5015096   .8444577     0.59   0.553    -1.153597    2.156616
              time |   .1176769   .1186988     0.99   0.321    -.1149686    .3503223
        timesquare |  -.0090992   .0068841    -1.32   0.186    -.0225917    .0043934
          timecube |   .0001418   .0000951     1.49   0.136    -.0000446    .0003282
             _cons |  -.6850363   .7073346    -0.97   0.333    -2.071387     .701314
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat3 |   3.579781   .9526501     3.76   0.000     1.712621    5.446941
num_dems_on_border |  -.3092917   .1575032    -1.96   0.050    -.6179922   -.0005912
       num_borders |   .0452333   .0699649     0.65   0.518    -.0918954    .1823621
           coldwar |  -.0701292   .2625844    -0.27   0.789    -.5847852    .4445267
       Lenergy_pop |  -.2284203   .0781076    -2.92   0.003    -.3815084   -.0753323
           Oil_exp |   .3994302   .3606793     1.11   0.268    -.3074881    1.106349
           maj_pow |   .5958945   .3811438     1.56   0.118    -.1511337    1.342923
         kgd_rival |   .2582353   .3732295     0.69   0.489    -.4732812    .9897517
             _cons |   -4.48226   .4617604    -9.71   0.000    -5.387294   -3.577226
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -612.41369
rescale:       log pseudolikelihood = -374.91085
rescale eq:    log pseudolikelihood = -374.91085

initial:       log pseudolikelihood = -374.91085
rescale:       log pseudolikelihood = -374.91085
rescale eq:    log pseudolikelihood = -374.91085
Iteration 0:   log pseudolikelihood = -374.91085  
Iteration 1:   log pseudolikelihood = -364.31784  (not concave)
Iteration 2:   log pseudolikelihood = -363.87487  
Iteration 3:   log pseudolikelihood = -363.79572  
Iteration 4:   log pseudolikelihood =  -363.0763  
Iteration 5:   log pseudolikelihood = -362.98878  
Iteration 6:   log pseudolikelihood = -362.90853  
Iteration 7:   log pseudolikelihood = -362.88423  
Iteration 8:   log pseudolikelihood = -362.87713  
Iteration 9:   log pseudolikelihood = -362.87534  
Iteration 10:  log pseudolikelihood = -362.87496  
Iteration 11:  log pseudolikelihood =  -362.8749  
Iteration 12:  log pseudolikelihood = -362.87488  

                                                Number of obs     =      6,618
                                                Wald chi2(5)      =      75.68
Log pseudolikelihood = -362.87488               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   13.18855   2.905498     4.54   0.000      7.49388    18.88322
             demdA |   .5544009   .8574671     0.65   0.518    -1.126204    2.235006
              time |    .117549   .1180754     1.00   0.319    -.1138744    .3489725
        timesquare |  -.0091429   .0068707    -1.33   0.183    -.0226091    .0043234
          timecube |   .0001428   .0000951     1.50   0.133    -.0000436    .0003292
             _cons |  -.6749001   .7010022    -0.96   0.336    -2.048839    .6990389
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat4 |   3.912371   .8806082     4.44   0.000     2.186411    5.638331
num_dems_on_border |   -.281893   .1595904    -1.77   0.077    -.5946843    .0308984
       num_borders |   .0380225   .0685761     0.55   0.579    -.0963841    .1724291
           coldwar |   -.020564   .2651911    -0.08   0.938     -.540329     .499201
       Lenergy_pop |    -.23213   .0770292    -3.01   0.003    -.3831044   -.0811555
           Oil_exp |   .4008034   .3607985     1.11   0.267    -.3063487    1.107956
           maj_pow |   .5459133   .3805248     1.43   0.151    -.1999017    1.291728
         kgd_rival |   .2363787   .3720061     0.64   0.525    -.4927399    .9654972
             _cons |  -4.540922   .4656069    -9.75   0.000    -5.453495   -3.628349
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -615.48562
rescale:       log pseudolikelihood = -376.02537
rescale eq:    log pseudolikelihood = -376.02537

initial:       log pseudolikelihood = -376.02537
rescale:       log pseudolikelihood = -376.02537
rescale eq:    log pseudolikelihood = -376.02537
Iteration 0:   log pseudolikelihood = -376.02537  
Iteration 1:   log pseudolikelihood = -365.98079  (not concave)
Iteration 2:   log pseudolikelihood = -365.52513  
Iteration 3:   log pseudolikelihood = -365.11639  
Iteration 4:   log pseudolikelihood = -364.79805  
Iteration 5:   log pseudolikelihood = -364.68261  
Iteration 6:   log pseudolikelihood = -364.59235  
Iteration 7:   log pseudolikelihood = -364.56901  
Iteration 8:   log pseudolikelihood = -364.56089  
Iteration 9:   log pseudolikelihood = -364.55884  
Iteration 10:  log pseudolikelihood = -364.55836  
Iteration 11:  log pseudolikelihood = -364.55824  
Iteration 12:  log pseudolikelihood = -364.55822  

                                                Number of obs     =      6,618
                                                Wald chi2(5)      =      94.96
Log pseudolikelihood = -364.55822               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |    12.9639   2.455626     5.28   0.000      8.15096    17.77684
             demdA |   .5755994   .8525329     0.68   0.500    -1.095334    2.246533
              time |   .1133996   .1159394     0.98   0.328    -.1138374    .3406366
        timesquare |  -.0089363   .0067545    -1.32   0.186    -.0221749    .0043023
          timecube |   .0001403   .0000938     1.50   0.135    -.0000435     .000324
             _cons |  -.6983772   .6986387    -1.00   0.317    -2.067684    .6709296
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat5 |   3.718341   .9827849     3.78   0.000     1.792118    5.644565
num_dems_on_border |   -.301407   .1583149    -1.90   0.057    -.6116984    .0088844
       num_borders |   .0478306   .0691951     0.69   0.489    -.0877893    .1834505
           coldwar |  -.0554585   .2618608    -0.21   0.832    -.5686961    .4577792
       Lenergy_pop |  -.2319274   .0776941    -2.99   0.003    -.3842051   -.0796498
           Oil_exp |   .3443217   .3627638     0.95   0.343    -.3666824    1.055326
           maj_pow |   .5430023   .3777087     1.44   0.151    -.1972932    1.283298
         kgd_rival |   .2565461   .3718725     0.69   0.490    -.4723107    .9854028
             _cons |  -4.482327    .460117    -9.74   0.000     -5.38414   -3.580514
------------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &      13.451*\\
            &     (2.725) \\
demdA       &       0.563 \\
            &     (0.856) \\
time        &       0.116 \\
            &     (0.117) \\
timesquare  &      -0.009 \\
            &     (0.007) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -0.697 \\
            &     (0.699) \\
G           &             \\
TerrThreat5 &       3.856*\\
            &     (0.983) \\
num_dems_on_border&      -0.296 \\
            &     (0.158) \\
num_borders &       0.044 \\
            &     (0.069) \\
coldwar     &      -0.039 \\
            &     (0.266) \\
Lenergy_pop &      -0.231*\\
            &     (0.078) \\
Oil_exp     &       0.386 \\
            &     (0.363) \\
maj_pow     &       0.559 \\
            &     (0.381) \\
kgd_rival   &       0.252 \\
            &     (0.372) \\
_cons       &      -4.519*\\
            &     (0.465) \\

.                         matrix rename ll ll_rub_fullrel;

.                 estimates store fullrel;

.                 matrix list ll_rub_fullrel;

symmetric ll_rub_fullrel[1,1]
            c1
r1  -363.86005

.                                                 /* Change in Alliance */
>                 logit violate wcchangedA demdA capcheither20 regchangeeither chTEAltorBmt alformA time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -407.68225  
Iteration 1:   log pseudolikelihood = -388.80198  
Iteration 2:   log pseudolikelihood = -381.50318  
Iteration 3:   log pseudolikelihood =  -381.4199  
Iteration 4:   log pseudolikelihood =  -381.4196  
Iteration 5:   log pseudolikelihood =  -381.4196  

Logistic regression                             Number of obs     =      6,760
                                                Wald chi2(9)      =      54.45
                                                Prob > chi2       =     0.0000
Log pseudolikelihood =  -381.4196               Pseudo R2         =     0.0644

                             (Std. Err. adjusted for 231 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .9532409   .4348056     2.19   0.028     .1010377    1.805444
          demdA |  -.9272593   .3740963    -2.48   0.013    -1.660475   -.1940441
  capcheither20 |   1.014635   .3029775     3.35   0.001     .4208101     1.60846
regchangeeither |   .1171364   .2924506     0.40   0.689    -.4560562    .6903289
   chTEAltorBmt |   .3913743   .2670839     1.47   0.143    -.1321005    .9148491
        alformA |   .9408691     .24341     3.87   0.000     .4637942    1.417944
           time |  -.0991597   .0730379    -1.36   0.175    -.2423113     .043992
     timesquare |   .0007261    .004339     0.17   0.867    -.0077782    .0092303
       timecube |   .0000219   .0000646     0.34   0.734    -.0001047    .0001486
          _cons |  -4.843203   .3081207   -15.72   0.000    -5.447108   -4.239297
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 logit violate TerrThreat1 num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv
>                         , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -391.95353  
Iteration 2:   log pseudolikelihood = -368.56139  
Iteration 3:   log pseudolikelihood = -368.48767  
Iteration 4:   log pseudolikelihood = -368.48762  
Iteration 5:   log pseudolikelihood = -368.48762  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      60.83
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -368.48762               Pseudo R2         =     0.0721

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       TerrThreat1 |   3.839047    .993802     3.86   0.000     1.891231    5.786863
num_dems_on_border |  -.2648084   .1535661    -1.72   0.085    -.5657924    .0361756
       num_borders |   .0137497   .0616921     0.22   0.824    -.1071646    .1346639
           coldwar |  -.1546695   .2449386    -0.63   0.528    -.6347403    .3254013
       Lenergy_pop |  -.2039998   .0709132    -2.88   0.004    -.3429872   -.0650124
           Oil_exp |   .2972174   .3218977     0.92   0.356    -.3336904    .9281252
           maj_pow |   .6285691   .3624242     1.73   0.083    -.0817693    1.338907
         kgd_rival |   .2724547   .3586074     0.76   0.447     -.430403    .9753123
             _cons |  -5.197721   .3469894   -14.98   0.000    -5.877807   -4.517634
------------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA demdA capcheither20 regchangeeither chTEAltorBmt alformA time timesquare timecube)
>                         (G: violate = TerrThreat`i' num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1, copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -597.93962
rescale:       log pseudolikelihood = -365.75293
rescale eq:    log pseudolikelihood = -365.75293

initial:       log pseudolikelihood = -365.75293
rescale:       log pseudolikelihood = -365.75293
rescale eq:    log pseudolikelihood = -365.75293
Iteration 0:   log pseudolikelihood = -365.75293  
Iteration 1:   log pseudolikelihood =  -352.2125  (not concave)
Iteration 2:   log pseudolikelihood =  -351.4979  
Iteration 3:   log pseudolikelihood = -351.03841  
Iteration 4:   log pseudolikelihood = -350.41372  
Iteration 5:   log pseudolikelihood = -350.27175  
Iteration 6:   log pseudolikelihood = -350.11472  
Iteration 7:   log pseudolikelihood = -350.07471  
Iteration 8:   log pseudolikelihood = -350.05547  
Iteration 9:   log pseudolikelihood = -350.05127  
Iteration 10:  log pseudolikelihood = -350.04986  
Iteration 11:  log pseudolikelihood = -350.04949  
Iteration 12:  log pseudolikelihood = -350.04939  
Iteration 13:  log pseudolikelihood = -350.04937  

                                                Number of obs     =      6,543
                                                Wald chi2(9)      =      25.43
Log pseudolikelihood = -350.04937               Prob > chi2       =     0.0025

                                (Std. Err. adjusted for 231 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   12.65226   18.68351     0.68   0.498    -23.96674    49.27127
             demdA |   1.483772   1.237694     1.20   0.231    -.9420639    3.909607
     capcheither20 |   1.995114   .7473936     2.67   0.008     .5302499    3.459979
   regchangeeither |   .2696384   .6417066     0.42   0.674    -.9880835     1.52736
      chTEAltorBmt |   .9089431   .8702715     1.04   0.296    -.7967576    2.614644
           alformA |   1.549775   .6894367     2.25   0.025     .1985036    2.901046
              time |  -.1180527   .1400207    -0.84   0.399    -.3924882    .1563828
        timesquare |   .0006904   .0073179     0.09   0.925    -.0136524    .0150331
          timecube |   .0000197   .0000999     0.20   0.844     -.000176    .0002154
             _cons |  -2.069763   .6713561    -3.08   0.002    -3.385597   -.7539297
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat1 |   3.725064   .9809885     3.80   0.000     1.802361    5.647766
num_dems_on_border |  -.3391436    .149165    -2.27   0.023    -.6315016   -.0467855
       num_borders |   .0683483   .0667795     1.02   0.306     -.062537    .1992337
           coldwar |   .1631777   .2736258     0.60   0.551     -.373119    .6994745
       Lenergy_pop |  -.2145108   .0747651    -2.87   0.004    -.3610477   -.0679738
           Oil_exp |   .4309908   .3766337     1.14   0.252    -.3071977    1.169179
           maj_pow |   .3639329   .3853142     0.94   0.345    -.3912691    1.119135
         kgd_rival |   .1721171   .3855604     0.45   0.655    -.5835674    .9278016
             _cons |  -4.458037   .5294444    -8.42   0.000    -5.495729   -3.420345
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood =  -597.7145
rescale:       log pseudolikelihood = -365.29355
rescale eq:    log pseudolikelihood = -365.29355

initial:       log pseudolikelihood = -365.29355
rescale:       log pseudolikelihood = -365.29355
rescale eq:    log pseudolikelihood = -365.29355
Iteration 0:   log pseudolikelihood = -365.29355  
Iteration 1:   log pseudolikelihood = -351.07463  (not concave)
Iteration 2:   log pseudolikelihood =  -350.4059  
Iteration 3:   log pseudolikelihood = -349.77224  
Iteration 4:   log pseudolikelihood = -349.22851  
Iteration 5:   log pseudolikelihood = -348.97822  
Iteration 6:   log pseudolikelihood = -348.88552  
Iteration 7:   log pseudolikelihood = -348.85881  
Iteration 8:   log pseudolikelihood = -348.85149  
Iteration 9:   log pseudolikelihood = -348.84991  
Iteration 10:  log pseudolikelihood = -348.84955  
Iteration 11:  log pseudolikelihood = -348.84946  
Iteration 12:  log pseudolikelihood = -348.84944  

                                                Number of obs     =      6,543
                                                Wald chi2(9)      =      28.28
Log pseudolikelihood = -348.84944               Prob > chi2       =     0.0009

                                (Std. Err. adjusted for 231 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   12.60783   11.97599     1.05   0.292    -10.86469    36.08034
             demdA |   1.538017   1.253552     1.23   0.220    -.9188995    3.994934
     capcheither20 |   1.942952   .7185253     2.70   0.007     .5346683    3.351236
   regchangeeither |   .2636174   .6378572     0.41   0.679    -.9865598    1.513795
      chTEAltorBmt |   .9001252    .841739     1.07   0.285    -.7496529    2.549903
           alformA |   1.586303   .6914743     2.29   0.022     .2310387    2.941568
              time |  -.1162478   .1417853    -0.82   0.412    -.3941418    .1616462
        timesquare |   .0008101   .0073927     0.11   0.913    -.0136794    .0152996
          timecube |   .0000174   .0001007     0.17   0.863    -.0001799    .0002148
             _cons |  -2.086951    .671798    -3.11   0.002    -3.403651   -.7702516
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat2 |   3.897725   .9266794     4.21   0.000     2.081467    5.713984
num_dems_on_border |  -.3185678   .1466552    -2.17   0.030    -.6060067   -.0311289
       num_borders |   .0645709   .0651382     0.99   0.322    -.0630977    .1922395
           coldwar |   .2363737   .2773702     0.85   0.394    -.3072619    .7800093
       Lenergy_pop |  -.2174675   .0750318    -2.90   0.004    -.3645272   -.0704079
           Oil_exp |   .4505448   .3754061     1.20   0.230    -.2852376    1.186327
           maj_pow |   .2927076   .3847853     0.76   0.447    -.4614578    1.046873
         kgd_rival |   .1826216   .3852017     0.47   0.635    -.5723598     .937603
             _cons |  -4.503459   .5238803    -8.60   0.000    -5.530246   -3.476673
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -596.33081
rescale:       log pseudolikelihood = -365.46661
rescale eq:    log pseudolikelihood = -365.46661

initial:       log pseudolikelihood = -365.46661
rescale:       log pseudolikelihood = -365.46661
rescale eq:    log pseudolikelihood = -365.46661
Iteration 0:   log pseudolikelihood = -365.46661  
Iteration 1:   log pseudolikelihood = -352.59676  (not concave)
Iteration 2:   log pseudolikelihood = -351.93994  
Iteration 3:   log pseudolikelihood = -351.38679  
Iteration 4:   log pseudolikelihood = -350.98669  
Iteration 5:   log pseudolikelihood = -350.68804  
Iteration 6:   log pseudolikelihood = -350.60295  
Iteration 7:   log pseudolikelihood = -350.57795  
Iteration 8:   log pseudolikelihood = -350.57213  
Iteration 9:   log pseudolikelihood = -350.57036  
Iteration 10:  log pseudolikelihood = -350.56985  
Iteration 11:  log pseudolikelihood = -350.56967  
Iteration 12:  log pseudolikelihood = -350.56963  
Iteration 13:  log pseudolikelihood = -350.56962  

                                                Number of obs     =      6,543
                                                Wald chi2(9)      =      23.66
Log pseudolikelihood = -350.56962               Prob > chi2       =     0.0049

                                (Std. Err. adjusted for 231 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   12.10964   30.49934     0.40   0.691    -47.66796    71.88724
             demdA |   1.445383    1.23864     1.17   0.243    -.9823073    3.873074
     capcheither20 |   2.019662   .7711827     2.62   0.009     .5081714    3.531152
   regchangeeither |   .2686173   .6499341     0.41   0.679     -1.00523    1.542465
      chTEAltorBmt |   .9225276   .8984239     1.03   0.305    -.8383508    2.683406
           alformA |   1.550591   .6949884     2.23   0.026     .1884393    2.912744
              time |  -.1193276   .1404132    -0.85   0.395    -.3945325    .1558773
        timesquare |   .0007239   .0073212     0.10   0.921    -.0136254    .0150733
          timecube |   .0000192   .0000999     0.19   0.848    -.0001766     .000215
             _cons |  -2.059265   .6752187    -3.05   0.002    -3.382669   -.7358603
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat3 |   3.420091   .9362635     3.65   0.000     1.585049    5.255134
num_dems_on_border |  -.3421814   .1489768    -2.30   0.022    -.6341706   -.0501922
       num_borders |   .0669503   .0669288     1.00   0.317    -.0642278    .1981284
           coldwar |   .1530711   .2738415     0.56   0.576    -.3836483    .6897905
       Lenergy_pop |  -.2142866   .0750485    -2.86   0.004    -.3613789   -.0671942
           Oil_exp |   .4422004   .3756811     1.18   0.239    -.2941211    1.178522
           maj_pow |   .3712167   .3885917     0.96   0.339     -.390409    1.132842
         kgd_rival |   .1783906   .3863912     0.46   0.644    -.5789222    .9357035
             _cons |  -4.424548   .5336085    -8.29   0.000    -5.470401   -3.378694
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -594.15793
rescale:       log pseudolikelihood = -364.49063
rescale eq:    log pseudolikelihood = -364.49063

initial:       log pseudolikelihood = -364.49063
rescale:       log pseudolikelihood = -364.49063
rescale eq:    log pseudolikelihood = -364.49063
Iteration 0:   log pseudolikelihood = -364.49063  
Iteration 1:   log pseudolikelihood = -350.75763  (not concave)
Iteration 2:   log pseudolikelihood = -350.20111  
Iteration 3:   log pseudolikelihood = -349.61229  
Iteration 4:   log pseudolikelihood = -349.07378  
Iteration 5:   log pseudolikelihood = -348.92042  
Iteration 6:   log pseudolikelihood = -348.78016  
Iteration 7:   log pseudolikelihood = -348.74445  
Iteration 8:   log pseudolikelihood = -348.73464  
Iteration 9:   log pseudolikelihood = -348.73239  
Iteration 10:  log pseudolikelihood = -348.73183  
Iteration 11:  log pseudolikelihood = -348.73169  
Iteration 12:  log pseudolikelihood = -348.73166  
Iteration 13:  log pseudolikelihood = -348.73165  

                                                Number of obs     =      6,543
                                                Wald chi2(9)      =      24.33
Log pseudolikelihood = -348.73165               Prob > chi2       =     0.0038

                                (Std. Err. adjusted for 231 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   12.18342   38.00452     0.32   0.749    -62.30407    86.67091
             demdA |   1.489835    1.23632     1.21   0.228    -.9333072    3.912976
     capcheither20 |   2.006261   .7534026     2.66   0.008     .5296186    3.482903
   regchangeeither |   .2718484   .6484129     0.42   0.675    -.9990175    1.542714
      chTEAltorBmt |   .9153969   .8854059     1.03   0.301    -.8199667    2.650761
           alformA |   1.572006   .6951891     2.26   0.024     .2094607    2.934552
              time |  -.1185536   .1416827    -0.84   0.403    -.3962466    .1591394
        timesquare |   .0006854   .0073614     0.09   0.926    -.0137427    .0151135
          timecube |   .0000199   .0001003     0.20   0.843    -.0001767    .0002164
             _cons |  -2.062568    .676843    -3.05   0.002    -3.389156   -.7359796
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat4 |   3.719788    .858535     4.33   0.000      2.03709    5.402486
num_dems_on_border |  -.3173286   .1505341    -2.11   0.035      -.61237   -.0222872
       num_borders |   .0608732   .0659739     0.92   0.356    -.0684332    .1901795
           coldwar |   .2073532   .2777748     0.75   0.455    -.3370753    .7517817
       Lenergy_pop |  -.2163662   .0743543    -2.91   0.004     -.362098   -.0706345
           Oil_exp |   .4442513   .3740701     1.19   0.235    -.2889126    1.177415
           maj_pow |   .3147242    .386883     0.81   0.416    -.4435524    1.073001
         kgd_rival |   .1612322    .386379     0.42   0.676    -.5960568    .9185212
             _cons |  -4.479429   .5294257    -8.46   0.000    -5.517085   -3.441774
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood =  -597.2234
rescale:       log pseudolikelihood =  -365.5935
rescale eq:    log pseudolikelihood =  -365.5935

initial:       log pseudolikelihood =  -365.5935
rescale:       log pseudolikelihood =  -365.5935
rescale eq:    log pseudolikelihood =  -365.5935
Iteration 0:   log pseudolikelihood =  -365.5935  
Iteration 1:   log pseudolikelihood =  -352.3432  (not concave)
Iteration 2:   log pseudolikelihood = -351.67651  
Iteration 3:   log pseudolikelihood = -351.06282  
Iteration 4:   log pseudolikelihood = -350.60025  
Iteration 5:   log pseudolikelihood = -350.36508  
Iteration 6:   log pseudolikelihood = -350.28887  
Iteration 7:   log pseudolikelihood = -350.25933  
Iteration 8:   log pseudolikelihood =  -350.2517  
Iteration 9:   log pseudolikelihood =  -350.2503  
Iteration 10:  log pseudolikelihood = -350.24998  
Iteration 11:  log pseudolikelihood = -350.24988  
Iteration 12:  log pseudolikelihood = -350.24985  
Iteration 13:  log pseudolikelihood = -350.24985  

                                                Number of obs     =      6,543
                                                Wald chi2(9)      =      24.81
Log pseudolikelihood = -350.24985               Prob > chi2       =     0.0032

                                (Std. Err. adjusted for 231 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |    12.3206   36.24817     0.34   0.734     -58.7245    83.36571
             demdA |   1.483372   1.212677     1.22   0.221    -.8934309    3.860176
     capcheither20 |   1.975724   .7149317     2.76   0.006     .5744838    3.376965
   regchangeeither |   .2425267   .6360518     0.38   0.703    -1.004112    1.489165
      chTEAltorBmt |   .8914926   .8359048     1.07   0.286    -.7468507    2.529836
           alformA |   1.589516   .6916958     2.30   0.022     .2338167    2.945214
              time |   -.118701    .139677    -0.85   0.395    -.3924629    .1550608
        timesquare |   .0008004    .007279     0.11   0.912    -.0134662    .0150671
          timecube |   .0000179   .0000994     0.18   0.857    -.0001769    .0002126
             _cons |  -2.074388   .6730634    -3.08   0.002    -3.393568   -.7552075
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat5 |    3.52652   .9465796     3.73   0.000     1.671258    5.381781
num_dems_on_border |  -.3325832   .1492389    -2.23   0.026     -.625086   -.0400803
       num_borders |   .0689398   .0667739     1.03   0.302    -.0619347    .1998142
           coldwar |   .1706332   .2729167     0.63   0.532    -.3642738    .7055401
       Lenergy_pop |  -.2171737   .0751056    -2.89   0.004    -.3643779   -.0699695
           Oil_exp |   .3997103   .3757214     1.06   0.287    -.3366901    1.136111
           maj_pow |   .3150772   .3837251     0.82   0.412    -.4370102    1.067165
         kgd_rival |   .1783386   .3861165     0.46   0.644    -.5784359    .9351131
             _cons |  -4.418148   .5163404    -8.56   0.000    -5.430157    -3.40614
------------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &      12.375 \\
            &    (28.918) \\
demdA       &       1.488 \\
            &     (1.236) \\
capcheither20&       1.988*\\
            &     (0.742) \\
regchangeeither&       0.263 \\
            &     (0.643) \\
chTEAltorBmt&       0.908 \\
            &     (0.867) \\
alformA     &       1.570*\\
            &     (0.693) \\
time        &      -0.118 \\
            &     (0.141) \\
timesquare  &       0.001 \\
            &     (0.007) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -2.071*\\
            &     (0.674) \\
G           &             \\
TerrThreat5 &       3.658*\\
            &     (0.953) \\
num_dems_on_border&      -0.330*\\
            &     (0.149) \\
num_borders &       0.066 \\
            &     (0.066) \\
coldwar     &       0.186 \\
            &     (0.278) \\
Lenergy_pop &      -0.216*\\
            &     (0.075) \\
Oil_exp     &       0.434 \\
            &     (0.376) \\
maj_pow     &       0.332 \\
            &     (0.388) \\
kgd_rival   &       0.175 \\
            &     (0.386) \\
_cons       &      -4.457*\\
            &     (0.528) \\

.                         matrix rename ll ll_rub_chally;

.                 estimates store chally;

.                 matrix list ll_rub_chally;

symmetric ll_rub_chally[1,1]
            c1
r1  -349.68999

.                                         /* Alliance Terms */
>                 logit violate wcchangedA demdA asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -388.86573  
Iteration 1:   log pseudolikelihood = -372.98682  
Iteration 2:   log pseudolikelihood = -368.73692  
Iteration 3:   log pseudolikelihood = -368.70597  
Iteration 4:   log pseudolikelihood = -368.70595  

Logistic regression                             Number of obs     =      6,694
                                                Wald chi2(9)      =      40.72
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -368.70595               Pseudo R2         =     0.0518

                          (Std. Err. adjusted for 226 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
     violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  wcchangedA |   .9680715    .434956     2.23   0.026     .1155735     1.82057
       demdA |  -1.316545   .3839703    -3.43   0.001    -2.069113   -.5639772
   asymmetry |  -.3486592    .268493    -1.30   0.194    -.8748958    .1775775
    nomicoop |  -.8600077   .2781946    -3.09   0.002    -1.405259   -.3147563
      treaty |   .0584454   .3552734     0.16   0.869    -.6378777    .7547685
     milinst |   .5320099   .1717182     3.10   0.002     .1954484    .8685715
        time |   .0065065   .0672599     0.10   0.923    -.1253205    .1383334
  timesquare |  -.0029714   .0043632    -0.68   0.496    -.0115231    .0055803
    timecube |    .000062   .0000687     0.90   0.367    -.0000726    .0001966
       _cons |  -3.851174   .4533892    -8.49   0.000    -4.739801   -2.962547
------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 logit violate TerrThreat1 num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv
>                         , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -391.95353  
Iteration 2:   log pseudolikelihood = -368.56139  
Iteration 3:   log pseudolikelihood = -368.48767  
Iteration 4:   log pseudolikelihood = -368.48762  
Iteration 5:   log pseudolikelihood = -368.48762  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      60.83
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -368.48762               Pseudo R2         =     0.0721

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       TerrThreat1 |   3.839047    .993802     3.86   0.000     1.891231    5.786863
num_dems_on_border |  -.2648084   .1535661    -1.72   0.085    -.5657924    .0361756
       num_borders |   .0137497   .0616921     0.22   0.824    -.1071646    .1346639
           coldwar |  -.1546695   .2449386    -0.63   0.528    -.6347403    .3254013
       Lenergy_pop |  -.2039998   .0709132    -2.88   0.004    -.3429872   -.0650124
           Oil_exp |   .2972174   .3218977     0.92   0.356    -.3336904    .9281252
           maj_pow |   .6285691   .3624242     1.73   0.083    -.0817693    1.338907
         kgd_rival |   .2724547   .3586074     0.76   0.447     -.430403    .9753123
             _cons |  -5.197721   .3469894   -14.98   0.000    -5.877807   -4.517634
------------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA demdA asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = TerrThreat`i' num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1, copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -571.49182
rescale:       log pseudolikelihood = -349.89785
rescale eq:    log pseudolikelihood = -349.89785

initial:       log pseudolikelihood = -349.89785
rescale:       log pseudolikelihood = -349.89785
rescale eq:    log pseudolikelihood = -349.89785
Iteration 0:   log pseudolikelihood = -349.89785  
Iteration 1:   log pseudolikelihood = -333.11009  (not concave)
Iteration 2:   log pseudolikelihood = -332.61199  (not concave)
Iteration 3:   log pseudolikelihood = -332.45779  (not concave)
Iteration 4:   log pseudolikelihood = -332.39993  (not concave)
Iteration 5:   log pseudolikelihood = -332.34853  (not concave)
Iteration 6:   log pseudolikelihood = -332.30096  (not concave)
Iteration 7:   log pseudolikelihood = -332.25532  (not concave)
Iteration 8:   log pseudolikelihood = -332.21176  (not concave)
Iteration 9:   log pseudolikelihood = -332.16985  (not concave)
Iteration 10:  log pseudolikelihood = -332.12936  (not concave)
Iteration 11:  log pseudolikelihood = -332.08985  (not concave)
Iteration 12:  log pseudolikelihood = -332.05134  (not concave)
Iteration 13:  log pseudolikelihood = -332.01349  (not concave)
Iteration 14:  log pseudolikelihood = -331.97633  (not concave)
Iteration 15:  log pseudolikelihood = -331.93959  (not concave)
Iteration 16:  log pseudolikelihood = -331.90334  (not concave)
Iteration 17:  log pseudolikelihood = -331.86732  (not concave)
Iteration 18:  log pseudolikelihood = -331.83164  (not concave)
Iteration 19:  log pseudolikelihood = -331.79606  (not concave)
Iteration 20:  log pseudolikelihood =  -331.7607  (not concave)
Iteration 21:  log pseudolikelihood = -331.72534  (not concave)
Iteration 22:  log pseudolikelihood = -331.69011  (not concave)
Iteration 23:  log pseudolikelihood = -331.65479  (not concave)
Iteration 24:  log pseudolikelihood = -331.61953  (not concave)
Iteration 25:  log pseudolikelihood = -331.58412  (not concave)
Iteration 26:  log pseudolikelihood =  -331.5487  (not concave)
Iteration 27:  log pseudolikelihood = -331.51308  (not concave)
Iteration 28:  log pseudolikelihood =  -331.4774  (not concave)
Iteration 29:  log pseudolikelihood = -331.44148  (not concave)
Iteration 30:  log pseudolikelihood = -331.40546  (not concave)
Iteration 31:  log pseudolikelihood = -331.36916  (not concave)
Iteration 32:  log pseudolikelihood = -331.33273  (not concave)
Iteration 33:  log pseudolikelihood = -331.29599  (not concave)
Iteration 34:  log pseudolikelihood =  -331.2591  (not concave)
Iteration 35:  log pseudolikelihood = -331.22186  (not concave)
Iteration 36:  log pseudolikelihood = -331.18445  (not concave)
Iteration 37:  log pseudolikelihood = -331.14669  (not concave)
Iteration 38:  log pseudolikelihood = -331.10873  (not concave)
Iteration 39:  log pseudolikelihood = -331.07041  (not concave)
Iteration 40:  log pseudolikelihood = -331.03188  (not concave)
Iteration 41:  log pseudolikelihood = -330.99298  (not concave)
Iteration 42:  log pseudolikelihood = -330.95387  (not concave)
Iteration 43:  log pseudolikelihood = -330.91437  (not concave)
Iteration 44:  log pseudolikelihood = -330.87468  (not concave)
Iteration 45:  log pseudolikelihood = -330.83459  (not concave)
Iteration 46:  log pseudolikelihood = -330.79431  (not concave)
Iteration 47:  log pseudolikelihood = -330.75363  (not concave)
Iteration 48:  log pseudolikelihood = -330.71277  (not concave)
Iteration 49:  log pseudolikelihood = -330.67153  (not concave)
Iteration 50:  log pseudolikelihood = -330.63011  (not concave)
Iteration 51:  log pseudolikelihood = -330.58832  (not concave)
Iteration 52:  log pseudolikelihood = -330.54637  (not concave)
Iteration 53:  log pseudolikelihood = -330.50406  (not concave)
Iteration 54:  log pseudolikelihood = -330.46161  (not concave)
Iteration 55:  log pseudolikelihood = -330.41881  (not concave)
Iteration 56:  log pseudolikelihood =  -330.3759  (not concave)
Iteration 57:  log pseudolikelihood = -330.33267  (not concave)
Iteration 58:  log pseudolikelihood = -330.28934  (not concave)
Iteration 59:  log pseudolikelihood = -330.24571  (not concave)
Iteration 60:  log pseudolikelihood = -330.20201  (not concave)
Iteration 61:  log pseudolikelihood = -330.15803  (not concave)
Iteration 62:  log pseudolikelihood = -330.11402  (not concave)
Iteration 63:  log pseudolikelihood = -330.06975  (not concave)
Iteration 64:  log pseudolikelihood = -330.02548  (not concave)
Iteration 65:  log pseudolikelihood = -329.98098  (not concave)
Iteration 66:  log pseudolikelihood = -329.93649  (not concave)
Iteration 67:  log pseudolikelihood = -329.89182  (not concave)
Iteration 68:  log pseudolikelihood = -329.84719  (not concave)
Iteration 69:  log pseudolikelihood =  -329.8024  (not concave)
Iteration 70:  log pseudolikelihood = -329.75768  (not concave)
Iteration 71:  log pseudolikelihood = -329.71283  (not concave)
Iteration 72:  log pseudolikelihood = -329.66809  (not concave)
Iteration 73:  log pseudolikelihood = -329.62324  (not concave)
Iteration 74:  log pseudolikelihood = -329.57853  (not concave)
Iteration 75:  log pseudolikelihood = -329.53374  (not concave)
Iteration 76:  log pseudolikelihood = -329.48911  
Iteration 77:  log pseudolikelihood = -327.62276  (backed up)
Iteration 78:  log pseudolikelihood = -323.36956  
Iteration 79:  log pseudolikelihood = -322.19668  
Iteration 80:  log pseudolikelihood = -321.95872  
Iteration 81:  log pseudolikelihood =  -321.9112  
Iteration 82:  log pseudolikelihood = -321.89981  
Iteration 83:  log pseudolikelihood = -321.89718  
Iteration 84:  log pseudolikelihood = -321.89663  
Iteration 85:  log pseudolikelihood = -321.89651  
Iteration 86:  log pseudolikelihood = -321.89648  
Iteration 87:  log pseudolikelihood = -321.89647  

                                                Number of obs     =      6,470
                                                Wald chi2(9)      =     167.35
Log pseudolikelihood = -321.89647               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 226 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   16.46058   7.981874     2.06   0.039      .816396    32.10477
             demdA |   2.286995   1.133653     2.02   0.044     .0650758    4.508914
         asymmetry |  -2.202863   .7392485    -2.98   0.003    -3.651763   -.7539624
          nomicoop |  -2.523679   .8864557    -2.85   0.004      -4.2611    -.786258
            treaty |   2.668223    1.46233     1.82   0.068    -.1978909    5.534336
           milinst |   19.52864   2.046661     9.54   0.000     15.51726    23.54002
              time |    .112898   .1530066     0.74   0.461    -.1869894    .4127855
        timesquare |  -.0100767   .0088291    -1.14   0.254    -.0273814    .0072281
          timecube |   .0001607   .0001246     1.29   0.197    -.0000836    .0004049
             _cons |  -1.214746   1.217403    -1.00   0.318    -3.600811     1.17132
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat1 |   4.488031   .9200004     4.88   0.000     2.684863    6.291199
num_dems_on_border |  -.2871513   .1107132    -2.59   0.009    -.5041452   -.0701574
       num_borders |   .1258741   .0563414     2.23   0.025     .0154471    .2363012
           coldwar |   .4438008   .2849653     1.56   0.119    -.1147208    1.002322
       Lenergy_pop |  -.1920445   .0742078    -2.59   0.010    -.3374892   -.0465998
           Oil_exp |   .8829074   .3749246     2.35   0.019     .1480687    1.617746
           maj_pow |   .7935846   .3726558     2.13   0.033     .0631927    1.523977
         kgd_rival |    .110383   .3867024     0.29   0.775    -.6475398    .8683057
             _cons |  -5.458556   .4439149   -12.30   0.000    -6.328613   -4.588499
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -571.01943
rescale:       log pseudolikelihood = -349.36665
rescale eq:    log pseudolikelihood = -349.36665

initial:       log pseudolikelihood = -349.36665
rescale:       log pseudolikelihood = -349.36665
rescale eq:    log pseudolikelihood = -349.36665
Iteration 0:   log pseudolikelihood = -349.36665  
Iteration 1:   log pseudolikelihood = -331.99676  (not concave)
Iteration 2:   log pseudolikelihood = -331.46749  
Iteration 3:   log pseudolikelihood = -330.45815  (backed up)
Iteration 4:   log pseudolikelihood = -325.34007  
Iteration 5:   log pseudolikelihood = -323.20446  
Iteration 6:   log pseudolikelihood = -321.52303  
Iteration 7:   log pseudolikelihood = -321.09973  
Iteration 8:   log pseudolikelihood = -321.05567  
Iteration 9:   log pseudolikelihood = -321.04805  
Iteration 10:  log pseudolikelihood = -321.04629  
Iteration 11:  log pseudolikelihood = -321.04586  
Iteration 12:  log pseudolikelihood = -321.04578  
Iteration 13:  log pseudolikelihood = -321.04576  

                                                Number of obs     =      6,470
                                                Wald chi2(9)      =     163.64
Log pseudolikelihood = -321.04576               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 226 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   16.62285   7.614503     2.18   0.029     1.698697      31.547
             demdA |   2.297503   1.114563     2.06   0.039     .1129996    4.482007
         asymmetry |  -2.157992   .7334887    -2.94   0.003    -3.595604   -.7203807
          nomicoop |  -2.448651   .8785949    -2.79   0.005    -4.170666   -.7266371
            treaty |   2.574963   1.425984     1.81   0.071     -.219915     5.36984
           milinst |   18.85556   1.974374     9.55   0.000     14.98586    22.72526
              time |   .1098964   .1549811     0.71   0.478     -.193861    .4136539
        timesquare |  -.0097901   .0089112    -1.10   0.272    -.0272558    .0076755
          timecube |   .0001571   .0001255     1.25   0.211     -.000089    .0004032
             _cons |   -1.19103   1.218704    -0.98   0.328    -3.579647    1.197586
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat2 |   4.485224   .8512098     5.27   0.000     2.816883    6.153564
num_dems_on_border |  -.2703263   .1102885    -2.45   0.014    -.4864878   -.0541648
       num_borders |   .1242068   .0556824     2.23   0.026     .0150713    .2333422
           coldwar |   .5083113   .2895261     1.76   0.079    -.0591494    1.075772
       Lenergy_pop |  -.1930608   .0750003    -2.57   0.010    -.3400588   -.0460629
           Oil_exp |   .8859176   .3685848     2.40   0.016     .1635047     1.60833
           maj_pow |   .7169128   .3719381     1.93   0.054    -.0120726    1.445898
         kgd_rival |   .1410952   .3818677     0.37   0.712    -.6073516    .8895421
             _cons |  -5.494055   .4424342   -12.42   0.000     -6.36121     -4.6269
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -569.96767
rescale:       log pseudolikelihood = -349.56158
rescale eq:    log pseudolikelihood = -349.56158

initial:       log pseudolikelihood = -349.56158
rescale:       log pseudolikelihood = -349.56158
rescale eq:    log pseudolikelihood = -349.56158
Iteration 0:   log pseudolikelihood = -349.56158  
Iteration 1:   log pseudolikelihood = -333.47982  (not concave)
Iteration 2:   log pseudolikelihood = -332.97538  (not concave)
Iteration 3:   log pseudolikelihood = -332.91231  (not concave)
Iteration 4:   log pseudolikelihood = -332.86234  (not concave)
Iteration 5:   log pseudolikelihood = -332.81709  (not concave)
Iteration 6:   log pseudolikelihood =  -332.7701  (not concave)
Iteration 7:   log pseudolikelihood = -332.73097  (not concave)
Iteration 8:   log pseudolikelihood = -332.69506  (not concave)
Iteration 9:   log pseudolikelihood = -332.65798  (not concave)
Iteration 10:  log pseudolikelihood = -332.62335  (not concave)
Iteration 11:  log pseudolikelihood = -332.59037  (not concave)
Iteration 12:  log pseudolikelihood = -332.55765  (not concave)
Iteration 13:  log pseudolikelihood = -332.52555  (not concave)
Iteration 14:  log pseudolikelihood = -332.49432  (not concave)
Iteration 15:  log pseudolikelihood =  -332.4634  (not concave)
Iteration 16:  log pseudolikelihood =  -332.4328  (not concave)
Iteration 17:  log pseudolikelihood = -332.40246  (not concave)
Iteration 18:  log pseudolikelihood = -332.37243  (not concave)
Iteration 19:  log pseudolikelihood = -332.34248  (not concave)
Iteration 20:  log pseudolikelihood = -332.31269  (not concave)
Iteration 21:  log pseudolikelihood =  -332.2829  (not concave)
Iteration 22:  log pseudolikelihood = -332.25321  (not concave)
Iteration 23:  log pseudolikelihood = -332.22344  (not concave)
Iteration 24:  log pseudolikelihood = -332.19369  (not concave)
Iteration 25:  log pseudolikelihood =  -332.1638  (not concave)
Iteration 26:  log pseudolikelihood = -332.13388  (not concave)
Iteration 27:  log pseudolikelihood = -332.10377  (not concave)
Iteration 28:  log pseudolikelihood = -332.07357  (not concave)
Iteration 29:  log pseudolikelihood = -332.04314  (not concave)
Iteration 30:  log pseudolikelihood = -332.01259  (not concave)
Iteration 31:  log pseudolikelihood = -331.98176  (not concave)
Iteration 32:  log pseudolikelihood = -331.95078  (not concave)
Iteration 33:  log pseudolikelihood =  -331.9195  (not concave)
Iteration 34:  log pseudolikelihood = -331.88803  (not concave)
Iteration 35:  log pseudolikelihood = -331.85622  (not concave)
Iteration 36:  log pseudolikelihood = -331.82421  (not concave)
Iteration 37:  log pseudolikelihood = -331.79184  (not concave)
Iteration 38:  log pseudolikelihood = -331.75924  (not concave)
Iteration 39:  log pseudolikelihood = -331.72627  (not concave)
Iteration 40:  log pseudolikelihood = -331.69305  (not concave)
Iteration 41:  log pseudolikelihood = -331.65943  (not concave)
Iteration 42:  log pseudolikelihood = -331.62555  (not concave)
Iteration 43:  log pseudolikelihood = -331.59126  (not concave)
Iteration 44:  log pseudolikelihood = -331.55671  (not concave)
Iteration 45:  log pseudolikelihood = -331.52173  (not concave)
Iteration 46:  log pseudolikelihood = -331.48648  (not concave)
Iteration 47:  log pseudolikelihood =  -331.4508  (not concave)
Iteration 48:  log pseudolikelihood = -331.41485  (not concave)
Iteration 49:  log pseudolikelihood = -331.37846  (not concave)
Iteration 50:  log pseudolikelihood =  -331.3418  (not concave)
Iteration 51:  log pseudolikelihood = -331.30471  (not concave)
Iteration 52:  log pseudolikelihood = -331.26734  (not concave)
Iteration 53:  log pseudolikelihood = -331.22954  (not concave)
Iteration 54:  log pseudolikelihood = -331.19148  (not concave)
Iteration 55:  log pseudolikelihood = -331.15299  (not concave)
Iteration 56:  log pseudolikelihood = -331.11426  (not concave)
Iteration 57:  log pseudolikelihood =  -331.0751  (not concave)
Iteration 58:  log pseudolikelihood = -331.03571  (not concave)
Iteration 59:  log pseudolikelihood = -330.99591  (not concave)
Iteration 60:  log pseudolikelihood =  -330.9559  (not concave)
Iteration 61:  log pseudolikelihood = -330.91549  (not concave)
Iteration 62:  log pseudolikelihood =  -330.8749  (not concave)
Iteration 63:  log pseudolikelihood = -330.83392  (not concave)
Iteration 64:  log pseudolikelihood = -330.79277  (not concave)
Iteration 65:  log pseudolikelihood = -330.75127  (not concave)
Iteration 66:  log pseudolikelihood = -330.70962  (not concave)
Iteration 67:  log pseudolikelihood = -330.66764  (not concave)
Iteration 68:  log pseudolikelihood = -330.62554  (not concave)
Iteration 69:  log pseudolikelihood = -330.58314  (not concave)
Iteration 70:  log pseudolikelihood = -330.54064  (not concave)
Iteration 71:  log pseudolikelihood = -330.49787  (not concave)
Iteration 72:  log pseudolikelihood = -330.45503  (not concave)
Iteration 73:  log pseudolikelihood = -330.41195  (not concave)
Iteration 74:  log pseudolikelihood = -330.36883  (not concave)
Iteration 75:  log pseudolikelihood =  -330.3255  (not concave)
Iteration 76:  log pseudolikelihood = -330.28216  (not concave)
Iteration 77:  log pseudolikelihood = -330.23863  (not concave)
Iteration 78:  log pseudolikelihood = -330.19514  (not concave)
Iteration 79:  log pseudolikelihood = -330.15148  (not concave)
Iteration 80:  log pseudolikelihood = -330.10789  (not concave)
Iteration 81:  log pseudolikelihood = -330.06416  (not concave)
Iteration 82:  log pseudolikelihood = -330.02052  (not concave)
Iteration 83:  log pseudolikelihood = -329.97678  (not concave)
Iteration 84:  log pseudolikelihood = -329.93317  (not concave)
Iteration 85:  log pseudolikelihood = -329.88947  (not concave)
Iteration 86:  log pseudolikelihood = -329.84593  
Iteration 87:  log pseudolikelihood =  -327.8595  (backed up)
Iteration 88:  log pseudolikelihood = -323.76606  
Iteration 89:  log pseudolikelihood = -322.65005  
Iteration 90:  log pseudolikelihood = -322.42352  
Iteration 91:  log pseudolikelihood = -322.37841  
Iteration 92:  log pseudolikelihood = -322.36736  
Iteration 93:  log pseudolikelihood = -322.36494  
Iteration 94:  log pseudolikelihood = -322.36442  
Iteration 95:  log pseudolikelihood = -322.36431  
Iteration 96:  log pseudolikelihood = -322.36428  

                                                Number of obs     =      6,470
                                                Wald chi2(9)      =     135.97
Log pseudolikelihood = -322.36428               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 226 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   14.93626   7.592896     1.97   0.049     .0544538    29.81806
             demdA |    2.25256   1.131276     1.99   0.046     .0352997    4.469821
         asymmetry |  -2.226222    .733891    -3.03   0.002    -3.664622   -.7878221
          nomicoop |  -2.551956   .8825247    -2.89   0.004    -4.281673   -.8222397
            treaty |   2.688138   1.463662     1.84   0.066    -.1805867    5.556862
           milinst |   17.94261   2.073057     8.66   0.000     13.87949    22.00572
              time |   .1126944   .1527238     0.74   0.461    -.1866389    .4120276
        timesquare |  -.0100553   .0088354    -1.14   0.255    -.0273725    .0072618
          timecube |   .0001601   .0001248     1.28   0.200    -.0000845    .0004047
             _cons |  -1.202528   1.220547    -0.99   0.325    -3.594755    1.189699
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat3 |   4.235848   .9055688     4.68   0.000     2.460966    6.010731
num_dems_on_border |  -.2866043   .1112005    -2.58   0.010    -.5045532   -.0686553
       num_borders |   .1230431   .0563472     2.18   0.029     .0126046    .2334816
           coldwar |   .4394803   .2847097     1.54   0.123    -.1185404     .997501
       Lenergy_pop |  -.1899582   .0748076    -2.54   0.011    -.3365784   -.0433379
           Oil_exp |     .91721   .3765765     2.44   0.015     .1791336    1.655286
           maj_pow |   .7805955   .3736177     2.09   0.037     .0483182    1.512873
         kgd_rival |   .1122158   .3867504     0.29   0.772    -.6458011    .8702327
             _cons |    -5.4209   .4416722   -12.27   0.000    -6.286561   -4.555238
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -567.72716
rescale:       log pseudolikelihood = -348.60017
rescale eq:    log pseudolikelihood = -348.60017

initial:       log pseudolikelihood = -348.60017
rescale:       log pseudolikelihood = -348.60017
rescale eq:    log pseudolikelihood = -348.60017
Iteration 0:   log pseudolikelihood = -348.60017  
Iteration 1:   log pseudolikelihood =  -331.5279  (not concave)
Iteration 2:   log pseudolikelihood = -331.10808  (not concave)
Iteration 3:   log pseudolikelihood = -330.93597  (not concave)
Iteration 4:   log pseudolikelihood = -330.84184  (not concave)
Iteration 5:   log pseudolikelihood = -330.69861  (not concave)
Iteration 6:   log pseudolikelihood = -330.63587  (not concave)
Iteration 7:   log pseudolikelihood = -330.58265  (not concave)
Iteration 8:   log pseudolikelihood = -330.52696  (not concave)
Iteration 9:   log pseudolikelihood = -330.48527  (not concave)
Iteration 10:  log pseudolikelihood = -330.44654  (not concave)
Iteration 11:  log pseudolikelihood = -330.40299  (not concave)
Iteration 12:  log pseudolikelihood = -330.33413  (not concave)
Iteration 13:  log pseudolikelihood = -330.26879  (not concave)
Iteration 14:  log pseudolikelihood = -330.21941  (not concave)
Iteration 15:  log pseudolikelihood = -330.17653  (not concave)
Iteration 16:  log pseudolikelihood = -330.13787  (not concave)
Iteration 17:  log pseudolikelihood = -330.08016  (not concave)
Iteration 18:  log pseudolikelihood = -330.02135  (not concave)
Iteration 19:  log pseudolikelihood = -329.89867  (not concave)
Iteration 20:  log pseudolikelihood = -329.83311  (not concave)
Iteration 21:  log pseudolikelihood = -329.77359  (not concave)
Iteration 22:  log pseudolikelihood = -329.72415  (not concave)
Iteration 23:  log pseudolikelihood = -329.66589  (not concave)
Iteration 24:  log pseudolikelihood = -329.57231  (not concave)
Iteration 25:  log pseudolikelihood = -329.46136  (not concave)
Iteration 26:  log pseudolikelihood = -329.27612  (not concave)
Iteration 27:  log pseudolikelihood = -327.27279  
Iteration 28:  log pseudolikelihood = -324.40032  
Iteration 29:  log pseudolikelihood = -321.47491  
Iteration 30:  log pseudolikelihood = -320.68547  
Iteration 31:  log pseudolikelihood =  -320.5475  
Iteration 32:  log pseudolikelihood = -320.51704  
Iteration 33:  log pseudolikelihood = -320.50998  
Iteration 34:  log pseudolikelihood = -320.50843  
Iteration 35:  log pseudolikelihood = -320.50815  
Iteration 36:  log pseudolikelihood = -320.50812  
Iteration 37:  log pseudolikelihood = -320.50811  

                                                Number of obs     =      6,470
                                                Wald chi2(9)      =     162.00
Log pseudolikelihood = -320.50811               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 226 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   16.75393   7.807676     2.15   0.032     1.451167    32.05669
             demdA |   2.268433   1.115066     2.03   0.042     .0829439    4.453922
         asymmetry |   -2.22329   .7424489    -2.99   0.003    -3.678464   -.7681174
          nomicoop |  -2.543262   .8837929    -2.88   0.004    -4.275465   -.8110603
            treaty |   2.701261   1.446229     1.87   0.062    -.1332958    5.535819
           milinst |   19.43797   2.051981     9.47   0.000     15.41616    23.45978
              time |   .1099574   .1536132     0.72   0.474     -.191119    .4110338
        timesquare |  -.0099657   .0088935    -1.12   0.262    -.0273966    .0074652
          timecube |   .0001593   .0001256     1.27   0.204    -.0000868    .0004054
             _cons |   -1.19493    1.21508    -0.98   0.325    -3.576443    1.186583
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat4 |   4.375878   .7955165     5.50   0.000     2.816695    5.935062
num_dems_on_border |  -.2600829   .1135317    -2.29   0.022    -.4826009   -.0375649
       num_borders |   .1204566   .0562505     2.14   0.032     .0102077    .2307056
           coldwar |   .4979038   .2884108     1.73   0.084     -.067371    1.063179
       Lenergy_pop |  -.1940344   .0741343    -2.62   0.009    -.3393349   -.0487339
           Oil_exp |   .9053734   .3710607     2.44   0.015     .1781077    1.632639
           maj_pow |   .7264917   .3733205     1.95   0.052     -.005203    1.458186
         kgd_rival |    .117067   .3836479     0.31   0.760     -.634869     .869003
             _cons |  -5.491271   .4442722   -12.36   0.000    -6.362029   -4.620513
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -570.70096
rescale:       log pseudolikelihood = -349.62725
rescale eq:    log pseudolikelihood = -349.62725

initial:       log pseudolikelihood = -349.62725
rescale:       log pseudolikelihood = -349.62725
rescale eq:    log pseudolikelihood = -349.62725
Iteration 0:   log pseudolikelihood = -349.62725  
Iteration 1:   log pseudolikelihood = -332.99656  (not concave)
Iteration 2:   log pseudolikelihood = -332.54953  (not concave)
Iteration 3:   log pseudolikelihood =  -332.4185  (not concave)
Iteration 4:   log pseudolikelihood = -332.35594  (not concave)
Iteration 5:   log pseudolikelihood = -332.23503  (not concave)
Iteration 6:   log pseudolikelihood = -332.16649  (not concave)
Iteration 7:   log pseudolikelihood = -332.12058  (not concave)
Iteration 8:   log pseudolikelihood = -332.07748  (not concave)
Iteration 9:   log pseudolikelihood =  -332.0083  (not concave)
Iteration 10:  log pseudolikelihood = -331.94417  (not concave)
Iteration 11:  log pseudolikelihood = -330.73432  
Iteration 12:  log pseudolikelihood = -328.15255  
Iteration 13:  log pseudolikelihood =  -324.0155  
Iteration 14:  log pseudolikelihood = -322.30372  
Iteration 15:  log pseudolikelihood = -321.74932  
Iteration 16:  log pseudolikelihood = -321.65119  
Iteration 17:  log pseudolikelihood =  -321.6316  
Iteration 18:  log pseudolikelihood = -321.62721  
Iteration 19:  log pseudolikelihood = -321.62621  
Iteration 20:  log pseudolikelihood = -321.62597  
Iteration 21:  log pseudolikelihood = -321.62592  
Iteration 22:  log pseudolikelihood =  -321.6259  

                                                Number of obs     =      6,470
                                                Wald chi2(9)      =     155.85
Log pseudolikelihood =  -321.6259               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 226 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   16.11381   6.493971     2.48   0.013      3.38586    28.84176
             demdA |   2.361201   1.135561     2.08   0.038     .1355426     4.58686
         asymmetry |  -2.220999   .7355534    -3.02   0.003    -3.662657   -.7793405
          nomicoop |  -2.540456   .8907706    -2.85   0.004    -4.286335   -.7945781
            treaty |    2.72065   1.462597     1.86   0.063    -.1459882    5.587288
           milinst |   18.83371   2.049445     9.19   0.000     14.81687    22.85055
              time |   .1066097   .1534374     0.69   0.487    -.1941221    .4073416
        timesquare |  -.0098068   .0088578    -1.11   0.268    -.0271679    .0075543
          timecube |   .0001578    .000125     1.26   0.207    -.0000872    .0004029
             _cons |   -1.25001   1.207799    -1.03   0.301    -3.617254    1.117233
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat5 |   4.409225    .887994     4.97   0.000     2.668788    6.149661
num_dems_on_border |  -.2759134   .1128812    -2.44   0.015    -.4971565   -.0546702
       num_borders |   .1252776    .056421     2.22   0.026     .0146944    .2358608
           coldwar |   .4668327   .2855367     1.63   0.102    -.0928089    1.026474
       Lenergy_pop |  -.1899229    .075241    -2.52   0.012    -.3373926   -.0424533
           Oil_exp |   .8782764   .3708833     2.37   0.018     .1513586    1.605194
           maj_pow |   .7149846   .3716896     1.92   0.054    -.0135136    1.443483
         kgd_rival |   .1168656   .3842928     0.30   0.761    -.6363344    .8700657
             _cons |  -5.433441   .4390927   -12.37   0.000    -6.294046   -4.572835
------------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &      16.177*\\
            &     (7.559) \\
demdA       &       2.293*\\
            &     (1.127) \\
asymmetry   &      -2.206*\\
            &     (0.738) \\
nomicoop    &      -2.522*\\
            &     (0.886) \\
treaty      &       2.671 \\
            &     (1.454) \\
milinst     &      18.920*\\
            &     (2.154) \\
time        &       0.110 \\
            &     (0.154) \\
timesquare  &      -0.010 \\
            &     (0.009) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -1.211 \\
            &     (1.216) \\
G           &             \\
TerrThreat5 &       4.399*\\
            &     (0.880) \\
num_dems_on_border&      -0.276*\\
            &     (0.112) \\
num_borders &       0.124*\\
            &     (0.056) \\
coldwar     &       0.471 \\
            &     (0.289) \\
Lenergy_pop &      -0.192*\\
            &     (0.075) \\
Oil_exp     &       0.894*\\
            &     (0.373) \\
maj_pow     &       0.747*\\
            &     (0.375) \\
kgd_rival   &       0.120 \\
            &     (0.385) \\
_cons       &      -5.460*\\
            &     (0.444) \\

.                         matrix rename ll ll_rub_ally;

.                 estimates store ally;

.                         matrix list ll_rub_ally;

symmetric ll_rub_ally[1,1]
            c1
r1  -321.48811

.                                                 /* Full Reliability */
>                 logit violate wcchangedA demdA capcheither20 regchangeeither chTEAltorBmt alformA asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 logit violate TerrThreat1 num_dems_on_border num_borders cold 
>                         , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -403.72333  
Iteration 1:   log pseudolikelihood = -397.09437  
Iteration 2:   log pseudolikelihood = -380.96029  
Iteration 3:   log pseudolikelihood = -380.91684  
Iteration 4:   log pseudolikelihood = -380.91682  

Logistic regression                             Number of obs     =      6,811
                                                Wald chi2(4)      =      52.35
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -380.91682               Pseudo R2         =     0.0565

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       TerrThreat1 |   4.269343   .9690982     4.41   0.000     2.369945     6.16874
num_dems_on_border |  -.2964713    .143947    -2.06   0.039    -.5786022   -.0143404
       num_borders |   .0580717   .0598947     0.97   0.332    -.0593197    .1754631
           coldwar |  -.2661715   .2548453    -1.04   0.296    -.7656592    .2333162
             _cons |  -4.946002   .2519004   -19.63   0.000    -5.439717   -4.452286
------------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA demdA capcheither20 regchangeeither chTEAltorBmt alformA asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = TerrThreat`i' num_dems_on_border num_borders cold) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1, copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -571.16606
rescale:       log pseudolikelihood = -349.93856
rescale eq:    log pseudolikelihood = -349.93856

initial:       log pseudolikelihood = -349.93856
rescale:       log pseudolikelihood = -349.93856
rescale eq:    log pseudolikelihood = -349.93856
Iteration 0:   log pseudolikelihood = -349.93856  
Iteration 1:   log pseudolikelihood = -330.90035  (not concave)
Iteration 2:   log pseudolikelihood = -329.93243  (not concave)
Iteration 3:   log pseudolikelihood = -329.45473  (not concave)
Iteration 4:   log pseudolikelihood = -329.21344  (not concave)
Iteration 5:   log pseudolikelihood = -329.08386  (not concave)
Iteration 6:   log pseudolikelihood = -328.90881  (not concave)
Iteration 7:   log pseudolikelihood = -328.77751  (not concave)
Iteration 8:   log pseudolikelihood = -328.64767  (not concave)
Iteration 9:   log pseudolikelihood = -328.17812  (not concave)
Iteration 10:  log pseudolikelihood = -327.77402  (not concave)
Iteration 11:  log pseudolikelihood = -324.55453  
Iteration 12:  log pseudolikelihood = -318.38971  
Iteration 13:  log pseudolikelihood = -316.84947  
Iteration 14:  log pseudolikelihood = -316.59635  
Iteration 15:  log pseudolikelihood = -316.55182  
Iteration 16:  log pseudolikelihood = -316.54791  
Iteration 17:  log pseudolikelihood =  -316.5479  

                                                Number of obs     =      6,582
                                                Wald chi2(13)     =      26.84
Log pseudolikelihood =  -316.5479               Prob > chi2       =     0.0131

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   4.428017   2.716142     1.63   0.103    -.8955237    9.751558
             demdA |   .7015205   1.632836     0.43   0.667     -2.49878    3.901821
     capcheither20 |   3.876031   5.720522     0.68   0.498    -7.335985    15.08805
   regchangeeither |   1.893943   2.503825     0.76   0.449    -3.013465     6.80135
      chTEAltorBmt |   1.092505   2.659409     0.41   0.681    -4.119842    6.304852
           alformA |   3.106734   4.525932     0.69   0.492    -5.763929     11.9774
         asymmetry |  -1.269367   1.054718    -1.20   0.229    -3.336577    .7978424
          nomicoop |  -2.805795   1.112602    -2.52   0.012    -4.986454   -.6251354
            treaty |   .8061137   3.407222     0.24   0.813    -5.871919    7.484146
           milinst |   5.045174   3.646327     1.38   0.166    -2.101495    12.19184
              time |  -.1775816   .4477076    -0.40   0.692    -1.055072    .6999092
        timesquare |  -.0020249   .0108191    -0.19   0.852    -.0232299    .0191801
          timecube |   .0000824   .0001231     0.67   0.504     -.000159    .0003237
             _cons |  -3.180728   1.694675    -1.88   0.061    -6.502229    .1407741
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat1 |   3.865053   1.045724     3.70   0.000     1.815472    5.914633
num_dems_on_border |  -.3334899   .1204939    -2.77   0.006    -.5696537   -.0973261
       num_borders |   .1493564   .1027305     1.45   0.146    -.0519917    .3507045
           coldwar |   .3832383   .5315742     0.72   0.471    -.6586279    1.425105
             _cons |   -4.76347   .6313279    -7.55   0.000     -6.00085    -3.52609
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -570.68132
rescale:       log pseudolikelihood =  -349.3647
rescale eq:    log pseudolikelihood =  -349.3647

initial:       log pseudolikelihood =  -349.3647
rescale:       log pseudolikelihood =  -349.3647
rescale eq:    log pseudolikelihood =  -349.3647
Iteration 0:   log pseudolikelihood =  -349.3647  
Iteration 1:   log pseudolikelihood = -329.78495  (not concave)
Iteration 2:   log pseudolikelihood = -328.83777  (not concave)
Iteration 3:   log pseudolikelihood =  -328.2777  (not concave)
Iteration 4:   log pseudolikelihood = -327.91168  (not concave)
Iteration 5:   log pseudolikelihood = -327.67779  (not concave)
Iteration 6:   log pseudolikelihood = -327.53223  (not concave)
Iteration 7:   log pseudolikelihood = -327.38731  (not concave)
Iteration 8:   log pseudolikelihood = -326.46336  (not concave)
Iteration 9:   log pseudolikelihood = -325.54186  (not concave)
Iteration 10:  log pseudolikelihood = -325.33532  (not concave)
Iteration 11:  log pseudolikelihood = -325.12662  (not concave)
Iteration 12:  log pseudolikelihood =  -324.9131  (not concave)
Iteration 13:  log pseudolikelihood = -324.69696  (not concave)
Iteration 14:  log pseudolikelihood = -324.48234  
Iteration 15:  log pseudolikelihood = -323.51115  
Iteration 16:  log pseudolikelihood = -316.45366  (not concave)
Iteration 17:  log pseudolikelihood =  -315.8643  
Iteration 18:  log pseudolikelihood =  -315.6286  
Iteration 19:  log pseudolikelihood = -315.55556  
Iteration 20:  log pseudolikelihood = -315.55406  
Iteration 21:  log pseudolikelihood = -315.55405  

                                                Number of obs     =      6,582
                                                Wald chi2(13)     =      26.62
Log pseudolikelihood = -315.55405               Prob > chi2       =     0.0140

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   4.352325   2.493146     1.75   0.081    -.5341506    9.238801
             demdA |     .70467   1.717974     0.41   0.682    -2.662497    4.071837
     capcheither20 |   4.074583   8.044567     0.51   0.613    -11.69248    19.84164
   regchangeeither |   1.954747   3.102855     0.63   0.529    -4.126736    8.036231
      chTEAltorBmt |   1.219026   3.522532     0.35   0.729    -5.685009    8.123061
           alformA |   3.342867   6.500127     0.51   0.607    -9.397147    16.08288
         asymmetry |  -1.224089   1.101821    -1.11   0.267    -3.383618    .9354406
          nomicoop |  -2.732099   1.135331    -2.41   0.016    -4.957306   -.5068913
            treaty |   .6289195   3.692117     0.17   0.865    -6.607498    7.865337
           milinst |   5.185372   4.442213     1.17   0.243    -3.521207    13.89195
              time |  -.1906281   .5196634    -0.37   0.714     -1.20915    .8278935
        timesquare |  -.0017529   .0103582    -0.17   0.866    -.0220547    .0185488
          timecube |   .0000806   .0001268     0.64   0.525     -.000168    .0003291
             _cons |  -3.263746   2.778427    -1.17   0.240    -8.709362     2.18187
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat2 |   3.911552   .9607727     4.07   0.000     2.028472    5.794632
num_dems_on_border |  -.3269089   .1203465    -2.72   0.007    -.5627837    -.091034
       num_borders |   .1407842   .1230581     1.14   0.253    -.1004053    .3819737
           coldwar |   .4365916   .6098365     0.72   0.474    -.7586659    1.631849
             _cons |   -4.76861   .7089494    -6.73   0.000    -6.158125   -3.379095
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -569.47266
rescale:       log pseudolikelihood = -349.56995
rescale eq:    log pseudolikelihood = -349.56995

initial:       log pseudolikelihood = -349.56995
rescale:       log pseudolikelihood = -349.56995
rescale eq:    log pseudolikelihood = -349.56995
Iteration 0:   log pseudolikelihood = -349.56995  
Iteration 1:   log pseudolikelihood = -331.37709  (not concave)
Iteration 2:   log pseudolikelihood = -330.37583  (not concave)
Iteration 3:   log pseudolikelihood = -330.02576  (not concave)
Iteration 4:   log pseudolikelihood = -329.84002  (not concave)
Iteration 5:   log pseudolikelihood = -329.32824  (not concave)
Iteration 6:   log pseudolikelihood =   -328.991  (not concave)
Iteration 7:   log pseudolikelihood = -328.79907  (not concave)
Iteration 8:   log pseudolikelihood = -328.61402  (not concave)
Iteration 9:   log pseudolikelihood =  -328.0657  (not concave)
Iteration 10:  log pseudolikelihood =    -327.51  (not concave)
Iteration 11:  log pseudolikelihood = -326.60341  (not concave)
Iteration 12:  log pseudolikelihood = -325.87959  (not concave)
Iteration 13:  log pseudolikelihood =  -325.2856  
Iteration 14:  log pseudolikelihood =  -321.0508  
Iteration 15:  log pseudolikelihood = -317.50449  
Iteration 16:  log pseudolikelihood = -316.98775  
Iteration 17:  log pseudolikelihood = -316.90018  
Iteration 18:  log pseudolikelihood = -316.89365  
Iteration 19:  log pseudolikelihood = -316.89358  
Iteration 20:  log pseudolikelihood = -316.89358  

                                                Number of obs     =      6,582
                                                Wald chi2(13)     =      26.38
Log pseudolikelihood = -316.89358               Prob > chi2       =     0.0151

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   4.404466   2.608858     1.69   0.091    -.7088016    9.517733
             demdA |   .6577127    1.71787     0.38   0.702    -2.709251    4.024677
     capcheither20 |   3.963535    6.50202     0.61   0.542    -8.780191    16.70726
   regchangeeither |   1.934901   2.777206     0.70   0.486    -3.508324    7.378125
      chTEAltorBmt |   1.115912    2.93174     0.38   0.703    -4.630193    6.862017
           alformA |   3.171416   5.148511     0.62   0.538     -6.91948    13.26231
         asymmetry |  -1.278759    1.09816    -1.16   0.244    -3.431112    .8735947
          nomicoop |  -2.826197   1.119396    -2.52   0.012    -5.020174   -.6322207
            treaty |   .7658503   3.557939     0.22   0.830    -6.207582    7.739283
           milinst |   5.102151    3.91596     1.30   0.193    -2.572989    12.77729
              time |  -.1801942   .4841601    -0.37   0.710     -1.12913    .7687421
        timesquare |  -.0021297   .0108799    -0.20   0.845    -.0234539    .0191945
          timecube |   .0000845   .0001248     0.68   0.498      -.00016    .0003291
             _cons |  -3.182563   1.910121    -1.67   0.096    -6.926333    .5612058
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat3 |   3.631551   1.021409     3.56   0.000     1.629627    5.633476
num_dems_on_border |  -.3368472   .1224906    -2.75   0.006    -.5769243     -.09677
       num_borders |   .1455841   .1088478     1.34   0.181    -.0677536    .3589219
           coldwar |   .3754069   .5763546     0.65   0.515    -.7542274    1.505041
             _cons |  -4.716269   .6743687    -6.99   0.000    -6.038007   -3.394531
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -566.97343
rescale:       log pseudolikelihood =  -348.4686
rescale eq:    log pseudolikelihood =  -348.4686

initial:       log pseudolikelihood =  -348.4686
rescale:       log pseudolikelihood =  -348.4686
rescale eq:    log pseudolikelihood =  -348.4686
Iteration 0:   log pseudolikelihood =  -348.4686  
Iteration 1:   log pseudolikelihood = -329.15569  (not concave)
Iteration 2:   log pseudolikelihood = -328.00484  (not concave)
Iteration 3:   log pseudolikelihood = -327.65708  (not concave)
Iteration 4:   log pseudolikelihood = -327.38169  (not concave)
Iteration 5:   log pseudolikelihood = -327.15114  (not concave)
Iteration 6:   log pseudolikelihood = -326.95452  (not concave)
Iteration 7:   log pseudolikelihood = -326.57597  (not concave)
Iteration 8:   log pseudolikelihood = -326.28984  (not concave)
Iteration 9:   log pseudolikelihood = -326.05771  (not concave)
Iteration 10:  log pseudolikelihood = -325.83361  (not concave)
Iteration 11:  log pseudolikelihood =  -322.5829  
Iteration 12:  log pseudolikelihood = -316.74305  
Iteration 13:  log pseudolikelihood = -315.27668  
Iteration 14:  log pseudolikelihood = -315.06272  
Iteration 15:  log pseudolikelihood = -315.03754  
Iteration 16:  log pseudolikelihood = -315.03687  
Iteration 17:  log pseudolikelihood = -315.03687  

                                                Number of obs     =      6,582
                                                Wald chi2(13)     =      28.26
Log pseudolikelihood = -315.03687               Prob > chi2       =     0.0083

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   4.526131   3.077712     1.47   0.141    -1.506074    10.55834
             demdA |   .7919052   1.783815     0.44   0.657    -2.704308    4.288118
     capcheither20 |   3.676555   5.281142     0.70   0.486    -6.674294     14.0274
   regchangeeither |   1.848098   2.389996     0.77   0.439    -2.836208    6.532404
      chTEAltorBmt |   1.022781   2.497002     0.41   0.682    -3.871252    5.916815
           alformA |   2.968806   4.165412     0.71   0.476    -5.195252    11.13286
         asymmetry |  -1.324533     1.0279    -1.29   0.198     -3.33918    .6901127
          nomicoop |  -2.779667   1.105172    -2.52   0.012    -4.945764   -.6135703
            treaty |    .969362   3.636617     0.27   0.790    -6.158276       8.097
           milinst |   4.901179   3.748699     1.31   0.191    -2.446137    12.24849
              time |  -.1628965   .4275336    -0.38   0.703    -1.000847     .675054
        timesquare |  -.0023852   .0107713    -0.22   0.825    -.0234966    .0187262
          timecube |   .0000858   .0001222     0.70   0.483    -.0001538    .0003254
             _cons |  -3.211622   1.465609    -2.19   0.028    -6.084163   -.3390801
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat4 |   3.881228   .9707509     4.00   0.000     1.978591    5.783865
num_dems_on_border |  -.3169875    .122866    -2.58   0.010    -.5578003   -.0761746
       num_borders |   .1428198   .1044757     1.37   0.172    -.0619488    .3475884
           coldwar |   .4608047   .5382757     0.86   0.392    -.5941962    1.515806
             _cons |  -4.812229   .6527127    -7.37   0.000    -6.091522   -3.532936
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -570.37301
rescale:       log pseudolikelihood =  -349.6072
rescale eq:    log pseudolikelihood =  -349.6072

initial:       log pseudolikelihood =  -349.6072
rescale:       log pseudolikelihood =  -349.6072
rescale eq:    log pseudolikelihood =  -349.6072
Iteration 0:   log pseudolikelihood =  -349.6072  
Iteration 1:   log pseudolikelihood = -330.52146  (not concave)
Iteration 2:   log pseudolikelihood = -329.49849  (not concave)
Iteration 3:   log pseudolikelihood = -329.08178  (not concave)
Iteration 4:   log pseudolikelihood =  -328.8872  (not concave)
Iteration 5:   log pseudolikelihood = -328.71506  (not concave)
Iteration 6:   log pseudolikelihood =   -328.574  (not concave)
Iteration 7:   log pseudolikelihood = -328.43521  (not concave)
Iteration 8:   log pseudolikelihood =  -328.2967  (not concave)
Iteration 9:   log pseudolikelihood = -328.15197  (not concave)
Iteration 10:  log pseudolikelihood = -328.00069  (not concave)
Iteration 11:  log pseudolikelihood = -327.84314  (not concave)
Iteration 12:  log pseudolikelihood = -327.68016  (not concave)
Iteration 13:  log pseudolikelihood = -327.50924  (not concave)
Iteration 14:  log pseudolikelihood = -327.33111  (not concave)
Iteration 15:  log pseudolikelihood = -327.14461  (not concave)
Iteration 16:  log pseudolikelihood = -326.95143  (not concave)
Iteration 17:  log pseudolikelihood = -326.74962  (not concave)
Iteration 18:  log pseudolikelihood = -326.54123  (not concave)
Iteration 19:  log pseudolikelihood = -326.32471  (not concave)
Iteration 20:  log pseudolikelihood = -326.10304  (not concave)
Iteration 21:  log pseudolikelihood = -325.87442  (not concave)
Iteration 22:  log pseudolikelihood = -325.64241  (not concave)
Iteration 23:  log pseudolikelihood = -325.40532  (not concave)
Iteration 24:  log pseudolikelihood = -325.16726  (not concave)
Iteration 25:  log pseudolikelihood = -324.92638  (not concave)
Iteration 26:  log pseudolikelihood = -324.68696  
Iteration 27:  log pseudolikelihood = -323.66738  
Iteration 28:  log pseudolikelihood = -316.78338  (not concave)
Iteration 29:  log pseudolikelihood = -316.14945  
Iteration 30:  log pseudolikelihood = -315.91894  
Iteration 31:  log pseudolikelihood = -315.91026  
Iteration 32:  log pseudolikelihood = -315.91021  
Iteration 33:  log pseudolikelihood = -315.91021  

                                                Number of obs     =      6,582
                                                Wald chi2(13)     =      29.12
Log pseudolikelihood = -315.91021               Prob > chi2       =     0.0063

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   4.489635   2.916242     1.54   0.124    -1.226094    10.20536
             demdA |   .8302614   1.585624     0.52   0.601    -2.277505    3.938028
     capcheither20 |    3.58832   4.380456     0.82   0.413    -4.997216    12.17386
   regchangeeither |   1.798884   2.144259     0.84   0.402    -2.403786    6.001553
      chTEAltorBmt |   .9889581   2.173208     0.46   0.649    -3.270451    5.248367
           alformA |   2.905994   3.398895     0.85   0.393    -3.755719    9.567706
         asymmetry |  -1.324614   .9895085    -1.34   0.181    -3.264015    .6147872
          nomicoop |  -2.779453   1.103351    -2.52   0.012     -4.94198   -.6169254
            treaty |   .9825861   3.118564     0.32   0.753    -5.129687    7.094859
           milinst |   4.912607   2.972217     1.65   0.098    -.9128308    10.73804
              time |  -.1631411   .4058365    -0.40   0.688     -.958566    .6322839
        timesquare |  -.0020969   .0111419    -0.19   0.851    -.0239346    .0197407
          timecube |   .0000811   .0001238     0.66   0.512    -.0001615    .0003238
             _cons |  -3.178544    1.36679    -2.33   0.020    -5.857404   -.4996845
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat5 |   3.917987   1.056258     3.71   0.000     1.847759    5.988215
num_dems_on_border |  -.3276918   .1212665    -2.70   0.007    -.5653698   -.0900138
       num_borders |     .14621   .0926712     1.58   0.115    -.0354222    .3278422
           coldwar |   .4374408   .4693119     0.93   0.351    -.4823936    1.357275
             _cons |  -4.770059    .573908    -8.31   0.000    -5.894898    -3.64522
------------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       4.440 \\
            &     (2.771) \\
demdA       &       0.737 \\
            &     (1.691) \\
capcheither20&       3.836 \\
            &     (6.116) \\
regchangeeither&       1.886 \\
            &     (2.606) \\
chTEAltorBmt&       1.088 \\
            &     (2.796) \\
alformA     &       3.099 \\
            &     (4.865) \\
asymmetry   &      -1.284 \\
            &     (1.056) \\
nomicoop    &      -2.785*\\
            &     (1.116) \\
treaty      &       0.831 \\
            &     (3.492) \\
milinst     &       5.029 \\
            &     (3.777) \\
time        &      -0.175 \\
            &     (0.459) \\
timesquare  &      -0.002 \\
            &     (0.011) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -3.203 \\
            &     (1.911) \\
G           &             \\
TerrThreat5 &       3.841*\\
            &     (1.020) \\
num_dems_on_border&      -0.328*\\
            &     (0.122) \\
num_borders &       0.145 \\
            &     (0.107) \\
coldwar     &       0.419 \\
            &     (0.549) \\
_cons       &      -4.766*\\
            &     (0.651) \\

.                         matrix rename ll ll_rub_reliable;

.                 estimates store reliable;

.                 matrix list ll_rub_reliable;

symmetric ll_rub_reliable[1,1]
            c1
r1  -315.98852

.                                 /* Table A.5 Results */
>         estout simple demdev fullrel chally ally reliable, stats(ll N)
>         cells(b(fmt(3) star) se(par))
>         modelwidth(8)
>         starlevels(* 0.05) legend
>         varwidth(15)
>         style(tex) replace;

               &  simple &  demdev & fullrel &  chally &    ally &reliable \\
               &    b/se &    b/se &    b/se &    b/se &    b/se &    b/se \\
B              &         &         &         &         &         &         \\
wcchangedA     &   1.143*&  11.925 &  13.451*&  12.375 &  16.177*&   4.440 \\
               & (0.476) &(12.030) & (2.725) &(28.918) & (7.559) & (2.771) \\
demdA          &  -0.498 &   0.545 &   0.563 &   1.488 &   2.293*&   0.737 \\
               & (0.459) & (0.830) & (0.856) & (1.236) & (1.127) & (1.691) \\
time           &   0.029 &   0.053 &   0.116 &  -0.118 &   0.110 &  -0.175 \\
               & (0.073) & (0.110) & (0.117) & (0.141) & (0.154) & (0.459) \\
timesquare     &  -0.005 &  -0.006 &  -0.009 &   0.001 &  -0.010 &  -0.002 \\
               & (0.005) & (0.006) & (0.007) & (0.007) & (0.009) & (0.011) \\
timecube       &   0.000 &   0.000 &   0.000 &   0.000 &   0.000 &   0.000 \\
               & (0.000) & (0.000) & (0.000) & (0.000) & (0.000) & (0.000) \\
capcheither20  &         &         &         &   1.988*&         &   3.836 \\
               &         &         &         & (0.742) &         & (6.116) \\
regchangeeither&         &         &         &   0.263 &         &   1.886 \\
               &         &         &         & (0.643) &         & (2.606) \\
chTEAltorBmt   &         &         &         &   0.908 &         &   1.088 \\
               &         &         &         & (0.867) &         & (2.796) \\
alformA        &         &         &         &   1.570*&         &   3.099 \\
               &         &         &         & (0.693) &         & (4.865) \\
asymmetry      &         &         &         &         &  -2.206*&  -1.284 \\
               &         &         &         &         & (0.738) & (1.056) \\
nomicoop       &         &         &         &         &  -2.522*&  -2.785*\\
               &         &         &         &         & (0.886) & (1.116) \\
treaty         &         &         &         &         &   2.671 &   0.831 \\
               &         &         &         &         & (1.454) & (3.492) \\
milinst        &         &         &         &         &  18.920*&   5.029 \\
               &         &         &         &         & (2.154) & (3.777) \\
_cons          &  -1.692 &  -0.380 &  -0.697 &  -2.071*&  -1.211 &  -3.203 \\
               & (1.016) & (0.753) & (0.699) & (0.674) & (1.216) & (1.911) \\
G              &         &         &         &         &         &         \\
TerrThreat5    &   4.704*&   4.270*&   3.856*&   3.658*&   4.399*&   3.841*\\
               & (0.765) & (0.950) & (0.983) & (0.953) & (0.880) & (1.020) \\
num_dems_on_border&         &  -0.342*&  -0.296 &  -0.330*&  -0.276*&  -0.328*\\
               &         & (0.155) & (0.158) & (0.149) & (0.112) & (0.122) \\
num_borders    &         &   0.081 &   0.044 &   0.066 &   0.124*&   0.145 \\
               &         & (0.066) & (0.069) & (0.066) & (0.056) & (0.107) \\
coldwar        &         &         &  -0.039 &   0.186 &   0.471 &   0.419 \\
               &         &         & (0.266) & (0.278) & (0.289) & (0.549) \\
Lenergy_pop    &         &         &  -0.231*&  -0.216*&  -0.192*&         \\
               &         &         & (0.078) & (0.075) & (0.075) &         \\
Oil_exp        &         &         &   0.386 &   0.434 &   0.894*&         \\
               &         &         & (0.363) & (0.376) & (0.373) &         \\
maj_pow        &         &         &   0.559 &   0.332 &   0.747*&         \\
               &         &         & (0.381) & (0.388) & (0.375) &         \\
kgd_rival      &         &         &   0.252 &   0.175 &   0.120 &         \\
               &         &         & (0.372) & (0.386) & (0.385) &         \\
_cons          &  -3.112*&  -4.345*&  -4.519*&  -4.457*&  -5.460*&  -4.766*\\
               & (0.947) & (0.384) & (0.465) & (0.528) & (0.444) & (0.651) \\
ll             &         &         &         &         &         &         \\
N              &         &         &         &         &         &         \\
* p<0.05

.                 /* Table A.6 */
>                 /* Democracy Directly */
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                         matrix B2 = e(b);

.                 logit violate TerrThreat1 demdA cold Lenergy_pop Oil_exp maj_pow kgd_riv
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -401.93435  
Iteration 1:   log pseudolikelihood = -389.72213  
Iteration 2:   log pseudolikelihood = -375.39938  
Iteration 3:   log pseudolikelihood = -375.33721  
Iteration 4:   log pseudolikelihood = -375.33717  

Logistic regression                             Number of obs     =      6,647
                                                Wald chi2(7)      =      54.61
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -375.33717               Pseudo R2         =     0.0662

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
     violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 TerrThreat1 |   3.978798    .878376     4.53   0.000     2.257212    5.700383
       demdA |  -.1360937   .3632873    -0.37   0.708    -.8481237    .5759363
     coldwar |   -.172323   .2251176    -0.77   0.444    -.6135454    .2688993
 Lenergy_pop |  -.2522514   .0683852    -3.69   0.000    -.3862838   -.1182189
     Oil_exp |   .1676347   .3152259     0.53   0.595    -.4501968    .7854662
     maj_pow |   .4099735   .3454696     1.19   0.235    -.2671345    1.087082
   kgd_rival |   .1500893   .3598168     0.42   0.677    -.5551386    .8553172
       _cons |  -5.242815   .3214804   -16.31   0.000    -5.872905   -4.612725
------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                         #delimit;
delimiter now ;
.                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = TerrThreat`i' demdA     
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv )if GL==1 
>                         , robust cluster(atopidphase) tech(bhhh) ;
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                         matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -564.72962
rescale:       log pseudolikelihood = -346.15911
rescale eq:    log pseudolikelihood = -346.15911

initial:       log pseudolikelihood = -346.15911
rescale:       log pseudolikelihood = -346.15911
rescale eq:    log pseudolikelihood = -346.15911
Iteration 0:   log pseudolikelihood = -346.15911  
Iteration 1:   log pseudolikelihood = -346.00114  (backed up)
Iteration 2:   log pseudolikelihood = -345.80493  (backed up)
Iteration 3:   log pseudolikelihood = -345.64361  (backed up)
Iteration 4:   log pseudolikelihood = -345.32136  (backed up)
Iteration 5:   log pseudolikelihood = -344.94929  (backed up)
Iteration 6:   log pseudolikelihood = -344.24022  
Iteration 7:   log pseudolikelihood = -343.82338  
Iteration 8:   log pseudolikelihood = -336.47153  
Iteration 9:   log pseudolikelihood = -331.71507  
Iteration 10:  log pseudolikelihood = -323.12637  
Iteration 11:  log pseudolikelihood =  -322.8634  
Iteration 12:  log pseudolikelihood = -319.54082  
Iteration 13:  log pseudolikelihood = -319.17526  
Iteration 14:  log pseudolikelihood = -318.06701  
Iteration 15:  log pseudolikelihood = -316.99971  
Iteration 16:  log pseudolikelihood =  -316.6516  
Iteration 17:  log pseudolikelihood = -315.90114  
Iteration 18:  log pseudolikelihood = -315.71133  
Iteration 19:  log pseudolikelihood = -315.22687  
Iteration 20:  log pseudolikelihood = -315.13609  
Iteration 21:  log pseudolikelihood = -314.75501  
Iteration 22:  log pseudolikelihood = -314.73646  
Iteration 23:  log pseudolikelihood = -314.45753  
Iteration 24:  log pseudolikelihood = -314.37063  
Iteration 25:  log pseudolikelihood = -314.34489  
Iteration 26:  log pseudolikelihood = -314.30059  
Iteration 27:  log pseudolikelihood = -314.28005  
Iteration 28:  log pseudolikelihood = -314.27682  
Iteration 29:  log pseudolikelihood = -314.26196  
Iteration 30:  log pseudolikelihood = -314.25629  
Iteration 31:  log pseudolikelihood = -314.25385  
Iteration 32:  log pseudolikelihood = -314.24986  
Iteration 33:  log pseudolikelihood = -314.24798  
Iteration 34:  log pseudolikelihood = -314.24669  
Iteration 35:  log pseudolikelihood = -314.24547  
Iteration 36:  log pseudolikelihood = -314.24508  
Iteration 37:  log pseudolikelihood = -314.24421  
Iteration 38:  log pseudolikelihood = -314.24383  
Iteration 39:  log pseudolikelihood = -314.24357  
Iteration 40:  log pseudolikelihood = -314.24332  
Iteration 41:  log pseudolikelihood = -314.24324  
Iteration 42:  log pseudolikelihood = -314.24306  
Iteration 43:  log pseudolikelihood = -314.24298  
Iteration 44:  log pseudolikelihood = -314.24292  
Iteration 45:  log pseudolikelihood = -314.24287  
Iteration 46:  log pseudolikelihood = -314.24285  
Iteration 47:  log pseudolikelihood = -314.24281  
Iteration 48:  log pseudolikelihood = -314.24279  
Iteration 49:  log pseudolikelihood = -314.24279  
Iteration 50:  log pseudolikelihood = -314.24277  
Iteration 51:  log pseudolikelihood = -314.24276  
Iteration 52:  log pseudolikelihood = -314.24276  
Iteration 53:  log pseudolikelihood = -314.24275  
Iteration 54:  log pseudolikelihood = -314.24275  
Iteration 55:  log pseudolikelihood = -314.24275  
Iteration 56:  log pseudolikelihood = -314.24275  
Iteration 57:  log pseudolikelihood = -314.24275  

                                                Number of obs     =      6,424
                                                Wald chi2(13)     =      42.21
Log pseudolikelihood = -314.24275               Prob > chi2       =     0.0001

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   7.496819   6.259128     1.20   0.231    -4.770846    19.76448
  capcheither20 |   2.760317   1.140078     2.42   0.015     .5258054    4.994828
regchangeeither |   1.651211   .9916264     1.67   0.096    -.2923412    3.594763
   chTEAltorBmt |   .9266654   1.059657     0.87   0.382    -1.150224    3.003555
        alformA |   2.324831   .8310251     2.80   0.005     .6960518     3.95361
          demdA |   2.553271   2.005188     1.27   0.203    -1.376827    6.483368
      asymmetry |  -1.351683   .7784081    -1.74   0.082    -2.877335     .173969
       nomicoop |  -2.801479   1.232199    -2.27   0.023    -5.216544    -.386414
         treaty |   2.428095   1.659073     1.46   0.143    -.8236273    5.679818
        milinst |   3.424603   .9732072     3.52   0.000     1.517152    5.332054
           time |  -.2037938   .2470036    -0.83   0.409    -.6879119    .2803243
     timesquare |   .0013764   .0109977     0.13   0.900    -.0201787    .0229315
       timecube |   .0000326   .0001379     0.24   0.813    -.0002377    .0003029
          _cons |   -3.78872   1.807813    -2.10   0.036    -7.331968    -.245472
----------------+----------------------------------------------------------------
G               |
    TerrThreat1 |   4.261386   .9405818     4.53   0.000     2.417879    6.104892
          demdA |  -1.148674   .5546599    -2.07   0.038    -2.235787   -.0615601
        coldwar |   .4386757   .2677937     1.64   0.101    -.0861903    .9635416
    Lenergy_pop |  -.1252769   .0894982    -1.40   0.162    -.3006901    .0501363
        Oil_exp |   .4772365   .4094984     1.17   0.244    -.3253657    1.279839
        maj_pow |   .5370824   .4087612     1.31   0.189    -.2640748     1.33824
      kgd_rival |   .0369318   .3758298     0.10   0.922    -.6996811    .7735446
          _cons |  -4.373918   .5041312    -8.68   0.000    -5.361997   -3.385839
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -564.17664
rescale:       log pseudolikelihood = -345.58348
rescale eq:    log pseudolikelihood = -345.58348

initial:       log pseudolikelihood = -345.58348
rescale:       log pseudolikelihood = -345.58348
rescale eq:    log pseudolikelihood = -345.58348
Iteration 0:   log pseudolikelihood = -345.58348  
Iteration 1:   log pseudolikelihood = -345.42551  (backed up)
Iteration 2:   log pseudolikelihood = -345.22873  (backed up)
Iteration 3:   log pseudolikelihood = -345.06216  (backed up)
Iteration 4:   log pseudolikelihood = -344.75676  (backed up)
Iteration 5:   log pseudolikelihood =   -344.424  (backed up)
Iteration 6:   log pseudolikelihood = -343.77042  
Iteration 7:   log pseudolikelihood = -343.47831  
Iteration 8:   log pseudolikelihood = -336.36936  
Iteration 9:   log pseudolikelihood =  -331.4555  
Iteration 10:  log pseudolikelihood = -322.19808  
Iteration 11:  log pseudolikelihood = -320.10599  
Iteration 12:  log pseudolikelihood = -319.14105  
Iteration 13:  log pseudolikelihood = -318.20572  
Iteration 14:  log pseudolikelihood = -317.67609  
Iteration 15:  log pseudolikelihood = -317.16537  
Iteration 16:  log pseudolikelihood = -316.78153  
Iteration 17:  log pseudolikelihood = -316.41053  
Iteration 18:  log pseudolikelihood = -316.10159  
Iteration 19:  log pseudolikelihood = -315.78943  
Iteration 20:  log pseudolikelihood = -315.50292  
Iteration 21:  log pseudolikelihood = -315.31816  
Iteration 22:  log pseudolikelihood = -314.98228  
Iteration 23:  log pseudolikelihood = -314.67306  
Iteration 24:  log pseudolikelihood = -314.47727  
Iteration 25:  log pseudolikelihood =  -314.1583  
Iteration 26:  log pseudolikelihood = -314.12058  
Iteration 27:  log pseudolikelihood = -313.79504  
Iteration 28:  log pseudolikelihood = -313.60242  
Iteration 29:  log pseudolikelihood =  -313.5479  
Iteration 30:  log pseudolikelihood = -313.45185  
Iteration 31:  log pseudolikelihood = -313.42203  
Iteration 32:  log pseudolikelihood = -313.41631  
Iteration 33:  log pseudolikelihood = -313.39605  
Iteration 34:  log pseudolikelihood =   -313.387  
Iteration 35:  log pseudolikelihood =  -313.3852  
Iteration 36:  log pseudolikelihood = -313.37863  
Iteration 37:  log pseudolikelihood = -313.37605  
Iteration 38:  log pseudolikelihood = -313.37492  
Iteration 39:  log pseudolikelihood = -313.37317  
Iteration 40:  log pseudolikelihood = -313.37226  
Iteration 41:  log pseudolikelihood = -313.37187  
Iteration 42:  log pseudolikelihood = -313.37117  
Iteration 43:  log pseudolikelihood = -313.37087  
Iteration 44:  log pseudolikelihood = -313.37076  
Iteration 45:  log pseudolikelihood = -313.37058  
Iteration 46:  log pseudolikelihood = -313.37036  
Iteration 47:  log pseudolikelihood = -313.37027  
Iteration 48:  log pseudolikelihood = -313.37019  
Iteration 49:  log pseudolikelihood = -313.37019  
Iteration 50:  log pseudolikelihood =  -313.3701  
Iteration 51:  log pseudolikelihood = -313.37007  
Iteration 52:  log pseudolikelihood = -313.37004  
Iteration 53:  log pseudolikelihood = -313.37002  
Iteration 54:  log pseudolikelihood =    -313.37  
Iteration 55:  log pseudolikelihood =    -313.37  
Iteration 56:  log pseudolikelihood = -313.36999  
Iteration 57:  log pseudolikelihood = -313.36998  
Iteration 58:  log pseudolikelihood = -313.36997  
Iteration 59:  log pseudolikelihood = -313.36997  
Iteration 60:  log pseudolikelihood = -313.36997  
Iteration 61:  log pseudolikelihood = -313.36997  
Iteration 62:  log pseudolikelihood = -313.36996  
Iteration 63:  log pseudolikelihood = -313.36996  
Iteration 64:  log pseudolikelihood = -313.36996  

                                                Number of obs     =      6,424
                                                Wald chi2(13)     =      42.60
Log pseudolikelihood = -313.36996               Prob > chi2       =     0.0001

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |    7.42873   6.146877     1.21   0.227    -4.618928    19.47639
  capcheither20 |   2.764625    1.24479     2.22   0.026     .3248814    5.204368
regchangeeither |   1.631195   .9990435     1.63   0.103    -.3268942    3.589284
   chTEAltorBmt |   .9424006   1.100653     0.86   0.392     -1.21484    3.099642
        alformA |   2.386432   .8846957     2.70   0.007     .6524598    4.120403
          demdA |   2.508619   2.050202     1.22   0.221    -1.509703    6.526941
      asymmetry |  -1.316904   .7895707    -1.67   0.095    -2.864434    .2306261
       nomicoop |  -2.740594   1.232559    -2.22   0.026    -5.156366   -.3248219
         treaty |   2.341099   1.668007     1.40   0.160    -.9281346    5.610333
        milinst |   3.416656   .9919005     3.44   0.001     1.472567    5.360746
           time |  -.2048469   .2497355    -0.82   0.412    -.6943195    .2846257
     timesquare |   .0015042   .0108721     0.14   0.890    -.0198048    .0228132
       timecube |   .0000311   .0001356     0.23   0.819    -.0002346    .0002968
          _cons |  -3.766467    1.86989    -2.01   0.044    -7.431384   -.1015503
----------------+----------------------------------------------------------------
G               |
    TerrThreat2 |   4.281196   .9104598     4.70   0.000     2.496728    6.065664
          demdA |  -1.094124   .5567666    -1.97   0.049    -2.185367   -.0028817
        coldwar |   .4981781   .2721071     1.83   0.067     -.035142    1.031498
    Lenergy_pop |  -.1282513   .0898716    -1.43   0.154    -.3043963    .0478937
        Oil_exp |   .4910962   .4121467     1.19   0.233    -.3166965    1.298889
        maj_pow |   .4663215   .4174395     1.12   0.264    -.3518449    1.284488
      kgd_rival |   .0577296   .3734719     0.15   0.877    -.6742619     .789721
          _cons |   -4.41651   .5005643    -8.82   0.000    -5.397598   -3.435422
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -563.14975
rescale:       log pseudolikelihood = -345.84473
rescale eq:    log pseudolikelihood = -345.84473

initial:       log pseudolikelihood = -345.84473
rescale:       log pseudolikelihood = -345.84473
rescale eq:    log pseudolikelihood = -345.84473
Iteration 0:   log pseudolikelihood = -345.84473  
Iteration 1:   log pseudolikelihood = -345.66053  (backed up)
Iteration 2:   log pseudolikelihood = -345.48185  (backed up)
Iteration 3:   log pseudolikelihood = -345.32532  (backed up)
Iteration 4:   log pseudolikelihood = -345.01084  (backed up)
Iteration 5:   log pseudolikelihood = -344.65662  (backed up)
Iteration 6:   log pseudolikelihood = -343.96985  
Iteration 7:   log pseudolikelihood = -343.64929  
Iteration 8:   log pseudolikelihood = -337.30472  
Iteration 9:   log pseudolikelihood = -333.08386  
Iteration 10:  log pseudolikelihood = -324.43278  
Iteration 11:  log pseudolikelihood = -323.30291  
Iteration 12:  log pseudolikelihood = -322.60134  
Iteration 13:  log pseudolikelihood = -320.06839  
Iteration 14:  log pseudolikelihood = -319.09444  
Iteration 15:  log pseudolikelihood = -318.00907  
Iteration 16:  log pseudolikelihood = -317.47851  
Iteration 17:  log pseudolikelihood = -316.06205  
Iteration 18:  log pseudolikelihood = -315.65749  
Iteration 19:  log pseudolikelihood = -315.57211  
Iteration 20:  log pseudolikelihood = -315.26655  
Iteration 21:  log pseudolikelihood = -315.06018  
Iteration 22:  log pseudolikelihood = -314.94415  
Iteration 23:  log pseudolikelihood =   -314.775  
Iteration 24:  log pseudolikelihood =  -314.6867  
Iteration 25:  log pseudolikelihood = -314.63742  
Iteration 26:  log pseudolikelihood = -314.58353  
Iteration 27:  log pseudolikelihood = -314.55316  
Iteration 28:  log pseudolikelihood = -314.54302  
Iteration 29:  log pseudolikelihood = -314.51892  
Iteration 30:  log pseudolikelihood = -314.50867  
Iteration 31:  log pseudolikelihood = -314.50356  
Iteration 32:  log pseudolikelihood = -314.49623  
Iteration 33:  log pseudolikelihood = -314.49262  
Iteration 34:  log pseudolikelihood = -314.49018  
Iteration 35:  log pseudolikelihood = -314.48781  
Iteration 36:  log pseudolikelihood = -314.48712  
Iteration 37:  log pseudolikelihood =  -314.4854  
Iteration 38:  log pseudolikelihood = -314.48466  
Iteration 39:  log pseudolikelihood = -314.48417  
Iteration 40:  log pseudolikelihood = -314.48369  
Iteration 41:  log pseudolikelihood = -314.48353  
Iteration 42:  log pseudolikelihood = -314.48318  
Iteration 43:  log pseudolikelihood = -314.48303  
Iteration 44:  log pseudolikelihood = -314.48292  
Iteration 45:  log pseudolikelihood = -314.48282  
Iteration 46:  log pseudolikelihood = -314.48278  
Iteration 47:  log pseudolikelihood = -314.48271  
Iteration 48:  log pseudolikelihood = -314.48271  
Iteration 49:  log pseudolikelihood = -314.48266  
Iteration 50:  log pseudolikelihood = -314.48264  
Iteration 51:  log pseudolikelihood = -314.48263  
Iteration 52:  log pseudolikelihood = -314.48261  
Iteration 53:  log pseudolikelihood = -314.48261  
Iteration 54:  log pseudolikelihood =  -314.4826  
Iteration 55:  log pseudolikelihood =  -314.4826  
Iteration 56:  log pseudolikelihood = -314.48259  
Iteration 57:  log pseudolikelihood = -314.48259  

                                                Number of obs     =      6,424
                                                Wald chi2(13)     =      42.00
Log pseudolikelihood = -314.48259               Prob > chi2       =     0.0001

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   7.289574     5.8041     1.26   0.209    -4.086254     18.6654
  capcheither20 |   2.747766   1.118959     2.46   0.014     .5546467    4.940885
regchangeeither |   1.637527    .984649     1.66   0.096    -.2923495    3.567404
   chTEAltorBmt |   .8927115   1.058192     0.84   0.399    -1.181307     2.96673
        alformA |   2.298698   .8252784     2.79   0.005     .6811824    3.916214
          demdA |   2.509799   1.959299     1.28   0.200    -1.330357    6.349955
      asymmetry |  -1.387892   .7836291    -1.77   0.077    -2.923777    .1479928
       nomicoop |  -2.825267   1.239424    -2.28   0.023    -5.254494   -.3960397
         treaty |   2.391002   1.639729     1.46   0.145    -.8228088    5.604812
        milinst |   3.441595   1.015721     3.39   0.001     1.450817    5.432372
           time |   -.198691    .247816    -0.80   0.423    -.6844015    .2870195
     timesquare |   .0011823   .0110939     0.11   0.915    -.0205613    .0229259
       timecube |   .0000347   .0001391     0.25   0.803    -.0002381    .0003074
          _cons |  -3.719322   1.788536    -2.08   0.038    -7.224787   -.2138565
----------------+----------------------------------------------------------------
G               |
    TerrThreat3 |   4.012093   .9034165     4.44   0.000     2.241429    5.782757
          demdA |  -1.159617   .5550044    -2.09   0.037    -2.247406   -.0718288
        coldwar |   .4235507   .2659425     1.59   0.111     -.097687    .9447883
    Lenergy_pop |  -.1236431   .0901959    -1.37   0.170    -.3004237    .0531376
        Oil_exp |   .5085302   .4162013     1.22   0.222    -.3072093     1.32427
        maj_pow |   .5315038   .4078551     1.30   0.193    -.2678775    1.330885
      kgd_rival |   .0348319   .3768416     0.09   0.926    -.7037641    .7734279
          _cons |  -4.336159   .5045995    -8.59   0.000    -5.325155   -3.347162
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -560.75854
rescale:       log pseudolikelihood = -344.76901
rescale eq:    log pseudolikelihood = -344.76901

initial:       log pseudolikelihood = -344.76901
rescale:       log pseudolikelihood = -344.76901
rescale eq:    log pseudolikelihood = -344.76901
Iteration 0:   log pseudolikelihood = -344.76901  
Iteration 1:   log pseudolikelihood = -344.55178  (backed up)
Iteration 2:   log pseudolikelihood = -344.36028  (backed up)
Iteration 3:   log pseudolikelihood = -344.16456  (backed up)
Iteration 4:   log pseudolikelihood = -343.84775  (backed up)
Iteration 5:   log pseudolikelihood = -343.51403  (backed up)
Iteration 6:   log pseudolikelihood = -342.85188  
Iteration 7:   log pseudolikelihood = -342.54406  
Iteration 8:   log pseudolikelihood =  -335.9268  
Iteration 9:   log pseudolikelihood = -331.11666  
Iteration 10:  log pseudolikelihood = -321.96856  
Iteration 11:  log pseudolikelihood = -319.63809  
Iteration 12:  log pseudolikelihood = -318.22622  
Iteration 13:  log pseudolikelihood = -317.42319  
Iteration 14:  log pseudolikelihood =  -317.1327  
Iteration 15:  log pseudolikelihood = -316.51461  
Iteration 16:  log pseudolikelihood = -316.50867  
Iteration 17:  log pseudolikelihood = -315.80218  
Iteration 18:  log pseudolikelihood = -315.18176  
Iteration 19:  log pseudolikelihood = -314.83349  
Iteration 20:  log pseudolikelihood = -314.26344  
Iteration 21:  log pseudolikelihood = -314.07214  
Iteration 22:  log pseudolikelihood = -313.57468  
Iteration 23:  log pseudolikelihood = -313.39818  
Iteration 24:  log pseudolikelihood = -313.07018  
Iteration 25:  log pseudolikelihood = -312.93703  
Iteration 26:  log pseudolikelihood = -312.72939  
Iteration 27:  log pseudolikelihood = -312.67545  
Iteration 28:  log pseudolikelihood = -312.55781  
Iteration 29:  log pseudolikelihood = -312.52284  
Iteration 30:  log pseudolikelihood = -312.51758  
Iteration 31:  log pseudolikelihood = -312.49923  
Iteration 32:  log pseudolikelihood =  -312.4917  
Iteration 33:  log pseudolikelihood = -312.49082  
Iteration 34:  log pseudolikelihood =  -312.4855  
Iteration 35:  log pseudolikelihood = -312.48354  
Iteration 36:  log pseudolikelihood = -312.48277  
Iteration 37:  log pseudolikelihood = -312.48144  
Iteration 38:  log pseudolikelihood = -312.48084  
Iteration 39:  log pseudolikelihood = -312.48044  
Iteration 40:  log pseudolikelihood = -312.48007  
Iteration 41:  log pseudolikelihood = -312.47996  
Iteration 42:  log pseudolikelihood =  -312.4797  
Iteration 43:  log pseudolikelihood = -312.47959  
Iteration 44:  log pseudolikelihood = -312.47952  
Iteration 45:  log pseudolikelihood = -312.47945  
Iteration 46:  log pseudolikelihood = -312.47943  
Iteration 47:  log pseudolikelihood = -312.47938  
Iteration 48:  log pseudolikelihood = -312.47935  
Iteration 49:  log pseudolikelihood = -312.47934  
Iteration 50:  log pseudolikelihood = -312.47933  
Iteration 51:  log pseudolikelihood = -312.47932  
Iteration 52:  log pseudolikelihood = -312.47931  
Iteration 53:  log pseudolikelihood = -312.47931  
Iteration 54:  log pseudolikelihood =  -312.4793  
Iteration 55:  log pseudolikelihood =  -312.4793  

                                                Number of obs     =      6,424
                                                Wald chi2(13)     =      41.75
Log pseudolikelihood =  -312.4793               Prob > chi2       =     0.0001

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   7.446353   6.274816     1.19   0.235    -4.852061    19.74477
  capcheither20 |   2.739396    1.14747     2.39   0.017     .4903963    4.988396
regchangeeither |   1.666596   .9949865     1.67   0.094    -.2835417    3.616734
   chTEAltorBmt |   .9076133   1.074359     0.84   0.398    -1.198091    3.013318
        alformA |   2.325231   .8441312     2.75   0.006     .6707639    3.979697
          demdA |   2.555448    1.97753     1.29   0.196    -1.320438    6.431335
      asymmetry |   -1.37553   .7833245    -1.76   0.079    -2.910817    .1597583
       nomicoop |  -2.786027   1.230906    -2.26   0.024    -5.198557   -.3734964
         treaty |   2.446433   1.634463     1.50   0.134    -.7570555    5.649922
        milinst |   3.436931   .9865334     3.48   0.000     1.503361    5.370501
           time |  -.2010862   .2478456    -0.81   0.417    -.6868546    .2846822
     timesquare |   .0012225   .0109518     0.11   0.911    -.0202425    .0226876
       timecube |   .0000349   .0001369     0.25   0.799    -.0002334    .0003032
          _cons |  -3.791255   1.802497    -2.10   0.035    -7.324084    -.258426
----------------+----------------------------------------------------------------
G               |
    TerrThreat4 |   4.228992   .8356505     5.06   0.000     2.591147    5.866837
          demdA |  -1.084488   .5490147    -1.98   0.048    -2.160537   -.0084387
        coldwar |   .4875621    .271253     1.80   0.072    -.0440841    1.019208
    Lenergy_pop |  -.1281668   .0901032    -1.42   0.155    -.3047658    .0484322
        Oil_exp |   .5250365   .4158484     1.26   0.207    -.2900113    1.340084
        maj_pow |   .4836425   .4116655     1.17   0.240    -.3232071    1.290492
      kgd_rival |    .032604   .3741325     0.09   0.931    -.7006823    .7658903
          _cons |  -4.425858   .5061175    -8.74   0.000     -5.41783   -3.433886
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -563.86732
rescale:       log pseudolikelihood =  -345.8505
rescale eq:    log pseudolikelihood =  -345.8505

initial:       log pseudolikelihood =  -345.8505
rescale:       log pseudolikelihood =  -345.8505
rescale eq:    log pseudolikelihood =  -345.8505
Iteration 0:   log pseudolikelihood =  -345.8505  
Iteration 1:   log pseudolikelihood = -345.70758  (backed up)
Iteration 2:   log pseudolikelihood = -345.51631  (backed up)
Iteration 3:   log pseudolikelihood = -345.35611  (backed up)
Iteration 4:   log pseudolikelihood =  -345.0302  (backed up)
Iteration 5:   log pseudolikelihood = -344.64836  (backed up)
Iteration 6:   log pseudolikelihood = -343.92364  
Iteration 7:   log pseudolikelihood = -343.49205  
Iteration 8:   log pseudolikelihood = -336.68939  
Iteration 9:   log pseudolikelihood = -331.83329  
Iteration 10:  log pseudolikelihood = -323.05956  
Iteration 11:  log pseudolikelihood = -322.81094  
Iteration 12:  log pseudolikelihood = -319.60202  
Iteration 13:  log pseudolikelihood = -318.29191  
Iteration 14:  log pseudolikelihood = -317.66377  
Iteration 15:  log pseudolikelihood = -316.61442  
Iteration 16:  log pseudolikelihood =  -315.9803  
Iteration 17:  log pseudolikelihood =  -315.5411  
Iteration 18:  log pseudolikelihood = -315.15589  
Iteration 19:  log pseudolikelihood = -314.94796  
Iteration 20:  log pseudolikelihood = -314.64048  
Iteration 21:  log pseudolikelihood = -314.63454  
Iteration 22:  log pseudolikelihood = -314.29496  
Iteration 23:  log pseudolikelihood = -314.12804  
Iteration 24:  log pseudolikelihood = -314.07984  
Iteration 25:  log pseudolikelihood =  -313.9621  
Iteration 26:  log pseudolikelihood = -313.89576  
Iteration 27:  log pseudolikelihood = -313.86798  
Iteration 28:  log pseudolikelihood = -313.85345  
Iteration 29:  log pseudolikelihood = -313.85068  
Iteration 30:  log pseudolikelihood = -313.83649  
Iteration 31:  log pseudolikelihood = -313.82769  
Iteration 32:  log pseudolikelihood =  -313.8237  
Iteration 33:  log pseudolikelihood = -313.81087  
Iteration 34:  log pseudolikelihood = -313.80143  
Iteration 35:  log pseudolikelihood = -313.79195  
Iteration 36:  log pseudolikelihood = -313.78058  
Iteration 37:  log pseudolikelihood =  -313.7751  
Iteration 38:  log pseudolikelihood = -313.76332  
Iteration 39:  log pseudolikelihood = -313.75713  
Iteration 40:  log pseudolikelihood = -313.75286  
Iteration 41:  log pseudolikelihood = -313.74804  
Iteration 42:  log pseudolikelihood = -313.74734  
Iteration 43:  log pseudolikelihood = -313.74319  
Iteration 44:  log pseudolikelihood = -313.74133  
Iteration 45:  log pseudolikelihood = -313.74058  
Iteration 46:  log pseudolikelihood = -313.73916  
Iteration 47:  log pseudolikelihood = -313.73849  
Iteration 48:  log pseudolikelihood =   -313.738  
Iteration 49:  log pseudolikelihood = -313.73753  
Iteration 50:  log pseudolikelihood = -313.73737  
Iteration 51:  log pseudolikelihood = -313.73702  
Iteration 52:  log pseudolikelihood = -313.73685  
Iteration 53:  log pseudolikelihood = -313.73674  
Iteration 54:  log pseudolikelihood = -313.73663  
Iteration 55:  log pseudolikelihood = -313.73658  
Iteration 56:  log pseudolikelihood =  -313.7365  
Iteration 57:  log pseudolikelihood =  -313.7365  
Iteration 58:  log pseudolikelihood = -313.73643  
Iteration 59:  log pseudolikelihood = -313.73641  
Iteration 60:  log pseudolikelihood =  -313.7364  
Iteration 61:  log pseudolikelihood = -313.73638  
Iteration 62:  log pseudolikelihood = -313.73638  
Iteration 63:  log pseudolikelihood = -313.73636  
Iteration 64:  log pseudolikelihood = -313.73636  
Iteration 65:  log pseudolikelihood = -313.73635  
Iteration 66:  log pseudolikelihood = -313.73635  
Iteration 67:  log pseudolikelihood = -313.73635  
Iteration 68:  log pseudolikelihood = -313.73635  
Iteration 69:  log pseudolikelihood = -313.73634  

                                                Number of obs     =      6,424
                                                Wald chi2(13)     =      42.39
Log pseudolikelihood = -313.73634               Prob > chi2       =     0.0001

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   7.183554   6.125133     1.17   0.241    -4.821487    19.18859
  capcheither20 |   2.722974   1.150044     2.37   0.018     .4689299    4.977019
regchangeeither |   1.584148   1.027731     1.54   0.123    -.4301672    3.598464
   chTEAltorBmt |    .864201    1.12304     0.77   0.442    -1.336917    3.065319
        alformA |   2.323732   .8309305     2.80   0.005     .6951377    3.952325
          demdA |   2.462501   2.108001     1.17   0.243    -1.669106    6.594108
      asymmetry |  -1.402131   .8320855    -1.69   0.092    -3.032988    .2287267
       nomicoop |  -2.808962   1.244513    -2.26   0.024    -5.248162   -.3697612
         treaty |   2.343545   1.711653     1.37   0.171    -1.011233    5.698323
        milinst |   3.526596   1.227759     2.87   0.004     1.120233    5.932959
           time |   -.192161   .2602073    -0.74   0.460    -.7021579    .3178358
     timesquare |   .0009574    .011418     0.08   0.933    -.0214216    .0233363
       timecube |   .0000372   .0001413     0.26   0.792    -.0002397    .0003142
          _cons |  -3.674544   1.937111    -1.90   0.058    -7.471212    .1221237
----------------+----------------------------------------------------------------
G               |
    TerrThreat5 |   4.227783   .9159912     4.62   0.000     2.432473    6.023092
          demdA |  -1.111835   .5663149    -1.96   0.050    -2.221792   -.0018781
        coldwar |    .448332   .2711056     1.65   0.098    -.0830252    .9796891
    Lenergy_pop |  -.1256782   .0909466    -1.38   0.167    -.3039303    .0525739
        Oil_exp |    .487945   .4183875     1.17   0.244    -.3320795     1.30797
        maj_pow |   .4806067   .4179877     1.15   0.250    -.3386343    1.299848
      kgd_rival |   .0358569   .3733311     0.10   0.923    -.6958586    .7675724
          _cons |  -4.360038   .5156756    -8.46   0.000    -5.370744   -3.349332
---------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       7.369 \\
            &     (6.126) \\
capcheither20&       2.747*\\
            &     (1.161) \\
regchangeeither&       1.634 \\
            &     (1.000) \\
chTEAltorBmt&       0.907 \\
            &     (1.084) \\
alformA     &       2.332*\\
            &     (0.844) \\
demdA       &       2.518 \\
            &     (2.021) \\
asymmetry   &      -1.367 \\
            &     (0.794) \\
nomicoop    &      -2.792*\\
            &     (1.236) \\
treaty      &       2.390 \\
            &     (1.664) \\
milinst     &       3.449*\\
            &     (1.045) \\
time        &      -0.200 \\
            &     (0.251) \\
timesquare  &       0.001 \\
            &     (0.011) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -3.748*\\
            &     (1.843) \\
G           &             \\
TerrThreat5 &       4.202*\\
            &     (0.910) \\
demdA       &      -1.120*\\
            &     (0.558) \\
coldwar     &       0.459 \\
            &     (0.272) \\
Lenergy_pop &      -0.126 \\
            &     (0.090) \\
Oil_exp     &       0.498 \\
            &     (0.415) \\
maj_pow     &       0.500 \\
            &     (0.414) \\
kgd_rival   &       0.040 \\
            &     (0.375) \\
_cons       &      -4.382*\\
            &     (0.508) \\

.                         matrix rename ll ll_rub_dem;

.                         estimates store dem;

.                 matrix list ll_rub_dem;

symmetric ll_rub_dem[1,1]
            c1
r1  -313.66219

.                                                 /* No Democracy */
>                                 #delimit;
delimiter now ;
.                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                         matrix B2 = e(b);

.                 logit violate TerrThreat1 num_borders cold Lenergy_pop Oil_exp maj_pow kgd_riv
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -390.64552  
Iteration 2:   log pseudolikelihood = -371.36222  
Iteration 3:   log pseudolikelihood = -371.27469  
Iteration 4:   log pseudolikelihood = -371.27463  
Iteration 5:   log pseudolikelihood = -371.27463  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(7)      =      56.77
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -371.27463               Pseudo R2         =     0.0651

                          (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------
             |               Robust
     violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 TerrThreat1 |   4.390433   .9358826     4.69   0.000     2.556137    6.224729
 num_borders |  -.0361575   .0537466    -0.67   0.501     -.141499    .0691839
     coldwar |  -.1331096   .2270067    -0.59   0.558    -.5780345    .3118153
 Lenergy_pop |   -.233873   .0664697    -3.52   0.000    -.3641513   -.1035948
     Oil_exp |   .2567812   .3395504     0.76   0.450    -.4087254    .9222878
     maj_pow |    .474781       .348     1.36   0.172    -.2072865    1.156849
   kgd_rival |   .2281647   .3531385     0.65   0.518     -.463974    .9203034
       _cons |  -5.255862   .3385922   -15.52   0.000     -5.91949   -4.592233
------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                         forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = TerrThreat`i'  num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv )if GL==1 
>                         , robust cluster(atopidphase) tech(bhhh) ;
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                         matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         nois _dots `i' 0;
 10.                 };
initial:       log pseudolikelihood = -557.59318
rescale:       log pseudolikelihood = -341.73063
rescale eq:    log pseudolikelihood = -341.73063

initial:       log pseudolikelihood = -341.73063
rescale:       log pseudolikelihood = -341.73063
rescale eq:    log pseudolikelihood = -341.73063
Iteration 0:   log pseudolikelihood = -341.73063  
Iteration 1:   log pseudolikelihood = -341.28388  
Iteration 2:   log pseudolikelihood = -341.09723  
Iteration 3:   log pseudolikelihood = -340.73471  
Iteration 4:   log pseudolikelihood = -339.83372  
Iteration 5:   log pseudolikelihood = -329.14143  
Iteration 6:   log pseudolikelihood =  -325.3772  
Iteration 7:   log pseudolikelihood = -316.53728  
Iteration 8:   log pseudolikelihood = -315.74601  
Iteration 9:   log pseudolikelihood = -314.37062  
Iteration 10:  log pseudolikelihood = -313.47326  
Iteration 11:  log pseudolikelihood = -313.01476  
Iteration 12:  log pseudolikelihood = -312.67771  
Iteration 13:  log pseudolikelihood = -312.52501  
Iteration 14:  log pseudolikelihood = -312.41353  
Iteration 15:  log pseudolikelihood = -312.39007  
Iteration 16:  log pseudolikelihood = -312.32555  
Iteration 17:  log pseudolikelihood = -312.30943  
Iteration 18:  log pseudolikelihood = -312.27384  
Iteration 19:  log pseudolikelihood = -312.26669  
Iteration 20:  log pseudolikelihood = -312.24422  
Iteration 21:  log pseudolikelihood = -312.24158  
Iteration 22:  log pseudolikelihood = -312.22545  
Iteration 23:  log pseudolikelihood = -312.22491  
Iteration 24:  log pseudolikelihood = -312.21236  
Iteration 25:  log pseudolikelihood = -312.17474  
Iteration 26:  log pseudolikelihood = -312.16354  
Iteration 27:  log pseudolikelihood = -312.16141  
Iteration 28:  log pseudolikelihood = -312.16002  
Iteration 29:  log pseudolikelihood = -312.15912  
Iteration 30:  log pseudolikelihood = -312.15809  
Iteration 31:  log pseudolikelihood = -312.15751  
Iteration 32:  log pseudolikelihood = -312.15672  
Iteration 33:  log pseudolikelihood = -312.15636  
Iteration 34:  log pseudolikelihood = -312.15574  
Iteration 35:  log pseudolikelihood = -312.15556  
Iteration 36:  log pseudolikelihood = -312.15505  
Iteration 37:  log pseudolikelihood = -312.15501  
Iteration 38:  log pseudolikelihood = -312.15458  
Iteration 39:  log pseudolikelihood = -312.14966  
Iteration 40:  log pseudolikelihood = -312.14858  
Iteration 41:  log pseudolikelihood = -312.14846  
Iteration 42:  log pseudolikelihood = -312.14841  
Iteration 43:  log pseudolikelihood = -312.14838  
Iteration 44:  log pseudolikelihood = -312.14835  
Iteration 45:  log pseudolikelihood = -312.14834  
Iteration 46:  log pseudolikelihood = -312.14832  
Iteration 47:  log pseudolikelihood = -312.14831  
Iteration 48:  log pseudolikelihood = -312.14829  
Iteration 49:  log pseudolikelihood = -312.14829  
Iteration 50:  log pseudolikelihood = -312.14828  
Iteration 51:  log pseudolikelihood = -312.14783  
Iteration 52:  log pseudolikelihood = -312.14777  
Iteration 53:  log pseudolikelihood = -312.14777  
Iteration 54:  log pseudolikelihood = -312.14777  
Iteration 55:  log pseudolikelihood = -312.14775  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      32.95
Log pseudolikelihood = -312.14775               Prob > chi2       =     0.0017

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   5.188148    2.80955     1.85   0.065    -.3184692    10.69476
  capcheither20 |   3.320315    1.66975     1.99   0.047     .0476644    6.592966
regchangeeither |   1.641297   1.314092     1.25   0.212    -.9342769    4.216871
   chTEAltorBmt |   .6190439   1.167681     0.53   0.596    -1.669569    2.907657
        alformA |   2.502659   1.255964     1.99   0.046     .0410155    4.964302
          demdA |   .4813053   1.105184     0.44   0.663    -1.684816    2.647427
      asymmetry |    -1.8688   .9606401    -1.95   0.052     -3.75162    .0140206
       nomicoop |  -3.390371   1.077792    -3.15   0.002    -5.502804   -1.277938
         treaty |   1.644784   2.034263     0.81   0.419    -2.342298    5.631866
        milinst |   4.857212   1.633952     2.97   0.003     1.654724      8.0597
           time |   -.105088   .2726178    -0.39   0.700     -.639409    .4292329
     timesquare |   -.004792   .0107564    -0.45   0.656    -.0258743    .0162902
       timecube |    .000113   .0001333     0.85   0.397    -.0001484    .0003743
          _cons |  -2.582342   1.398379    -1.85   0.065    -5.323114    .1584295
----------------+----------------------------------------------------------------
G               |
    TerrThreat1 |   4.926617   1.015153     4.85   0.000     2.936952    6.916281
    num_borders |   .0428009   .0493057     0.87   0.385    -.0538365    .1394384
        coldwar |     .44733    .292197     1.53   0.126    -.1253655    1.020026
    Lenergy_pop |  -.1723495   .0741006    -2.33   0.020    -.3175839    -.027115
        Oil_exp |   .6322325    .487667     1.30   0.195    -.3235773    1.588042
        maj_pow |   .2571733   .4084213     0.63   0.529    -.5433178    1.057664
      kgd_rival |   .0401392   .3739853     0.11   0.915    -.6928586    .7731369
          _cons |  -5.050348   .4725252   -10.69   0.000     -5.97648   -4.124215
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -556.98262
rescale:       log pseudolikelihood = -341.09611
rescale eq:    log pseudolikelihood = -341.09611

initial:       log pseudolikelihood = -341.09611
rescale:       log pseudolikelihood = -341.09611
rescale eq:    log pseudolikelihood = -341.09611
Iteration 0:   log pseudolikelihood = -341.09611  
Iteration 1:   log pseudolikelihood = -340.59808  
Iteration 2:   log pseudolikelihood = -340.41397  
Iteration 3:   log pseudolikelihood = -340.07248  
Iteration 4:   log pseudolikelihood = -339.18531  
Iteration 5:   log pseudolikelihood = -328.31943  
Iteration 6:   log pseudolikelihood = -324.23714  
Iteration 7:   log pseudolikelihood = -314.71119  
Iteration 8:   log pseudolikelihood = -314.00181  
Iteration 9:   log pseudolikelihood = -312.86255  
Iteration 10:  log pseudolikelihood = -312.21244  
Iteration 11:  log pseudolikelihood = -311.77921  
Iteration 12:  log pseudolikelihood = -311.41518  
Iteration 13:  log pseudolikelihood = -311.26244  
Iteration 14:  log pseudolikelihood = -311.14502  
Iteration 15:  log pseudolikelihood = -311.11644  
Iteration 16:  log pseudolikelihood = -311.05496  
Iteration 17:  log pseudolikelihood = -311.03661  
Iteration 18:  log pseudolikelihood = -311.00316  
Iteration 19:  log pseudolikelihood = -310.99479  
Iteration 20:  log pseudolikelihood = -310.97324  
Iteration 21:  log pseudolikelihood = -310.96988  
Iteration 22:  log pseudolikelihood = -310.95394  
Iteration 23:  log pseudolikelihood = -310.95294  
Iteration 24:  log pseudolikelihood = -310.94011  
Iteration 25:  log pseudolikelihood = -310.90505  
Iteration 26:  log pseudolikelihood = -310.89008  
Iteration 27:  log pseudolikelihood = -310.88728  
Iteration 28:  log pseudolikelihood = -310.88515  
Iteration 29:  log pseudolikelihood = -310.88383  
Iteration 30:  log pseudolikelihood = -310.88204  
Iteration 31:  log pseudolikelihood =  -310.8811  
Iteration 32:  log pseudolikelihood = -310.87956  
Iteration 33:  log pseudolikelihood = -310.87891  
Iteration 34:  log pseudolikelihood = -310.87756  
Iteration 35:  log pseudolikelihood = -310.87714  
Iteration 36:  log pseudolikelihood = -310.87595  
Iteration 37:  log pseudolikelihood = -310.87569  
Iteration 38:  log pseudolikelihood = -310.87463  
Iteration 39:  log pseudolikelihood =  -310.8745  
Iteration 40:  log pseudolikelihood = -310.87354  
Iteration 41:  log pseudolikelihood = -310.87351  
Iteration 42:  log pseudolikelihood = -310.87263  
Iteration 43:  log pseudolikelihood = -310.86476  
Iteration 44:  log pseudolikelihood = -310.86318  
Iteration 45:  log pseudolikelihood = -310.86282  
Iteration 46:  log pseudolikelihood = -310.86269  
Iteration 47:  log pseudolikelihood = -310.86261  
Iteration 48:  log pseudolikelihood = -310.86253  
Iteration 49:  log pseudolikelihood = -310.86248  
Iteration 50:  log pseudolikelihood = -310.86242  
Iteration 51:  log pseudolikelihood = -310.86238  
Iteration 52:  log pseudolikelihood = -310.86234  
Iteration 53:  log pseudolikelihood = -310.86231  
Iteration 54:  log pseudolikelihood = -310.86228  
Iteration 55:  log pseudolikelihood = -310.86226  
Iteration 56:  log pseudolikelihood = -310.86223  
Iteration 57:  log pseudolikelihood = -310.86222  
Iteration 58:  log pseudolikelihood =  -310.8622  
Iteration 59:  log pseudolikelihood = -310.86219  
Iteration 60:  log pseudolikelihood = -310.86217  
Iteration 61:  log pseudolikelihood = -310.86217  
Iteration 62:  log pseudolikelihood = -310.86215  
Iteration 63:  log pseudolikelihood = -310.86215  
Iteration 64:  log pseudolikelihood = -310.86214  
Iteration 65:  log pseudolikelihood = -310.86214  
Iteration 66:  log pseudolikelihood = -310.86213  
Iteration 67:  log pseudolikelihood = -310.86168  
Iteration 68:  log pseudolikelihood = -310.86165  
Iteration 69:  log pseudolikelihood = -310.86165  
Iteration 70:  log pseudolikelihood = -310.86165  
Iteration 71:  log pseudolikelihood = -310.86165  
Iteration 72:  log pseudolikelihood = -310.86165  
Iteration 73:  log pseudolikelihood = -310.86165  
Iteration 74:  log pseudolikelihood = -310.86165  
Iteration 75:  log pseudolikelihood = -310.86165  
Iteration 76:  log pseudolikelihood = -310.86165  
Iteration 77:  log pseudolikelihood = -310.86165  
Iteration 78:  log pseudolikelihood = -310.86165  
Iteration 79:  log pseudolikelihood = -310.86165  
Iteration 80:  log pseudolikelihood = -310.86165  
Iteration 81:  log pseudolikelihood = -310.86165  
Iteration 82:  log pseudolikelihood = -310.86165  
Iteration 83:  log pseudolikelihood = -310.86165  
Iteration 84:  log pseudolikelihood = -310.86165  
Iteration 85:  log pseudolikelihood = -310.86165  
Iteration 86:  log pseudolikelihood = -310.86165  
Iteration 87:  log pseudolikelihood = -310.86165  
Iteration 88:  log pseudolikelihood = -310.86165  
Iteration 89:  log pseudolikelihood = -310.86165  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      32.90
Log pseudolikelihood = -310.86165               Prob > chi2       =     0.0018

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   5.110003   2.930355     1.74   0.081    -.6333865    10.85339
  capcheither20 |   3.307686   1.930564     1.71   0.087    -.4761487    7.091521
regchangeeither |   1.617872   1.368441     1.18   0.237    -1.064223    4.299967
   chTEAltorBmt |   .6597113    1.26026     0.52   0.601    -1.810353    3.129776
        alformA |   2.578873   1.438641     1.79   0.073    -.2408122    5.398558
          demdA |   .5081966   1.170963     0.43   0.664    -1.786848    2.803241
      asymmetry |  -1.805617   .9655743    -1.87   0.061    -3.698108    .0868742
       nomicoop |  -3.305328   1.085295    -3.05   0.002    -5.432467   -1.178189
         treaty |   1.522729   2.179191     0.70   0.485    -2.748408    5.793865
        milinst |   4.856061   1.734902     2.80   0.005     1.455716    8.256407
           time |  -.1129168   .2852795    -0.40   0.692    -.6720542    .4462207
     timesquare |  -.0042427   .0107364    -0.40   0.693    -.0252857    .0168003
       timecube |   .0001058   .0001309     0.81   0.419    -.0001508    .0003625
          _cons |   -2.58105   1.429169    -1.81   0.071     -5.38217    .2200708
----------------+----------------------------------------------------------------
G               |
    TerrThreat2 |   4.909144   .9583469     5.12   0.000     3.030819     6.78747
    num_borders |   .0452339   .0491369     0.92   0.357    -.0510725    .1415404
        coldwar |   .5261468   .3089895     1.70   0.089    -.0794614    1.131755
    Lenergy_pop |  -.1703197   .0758463    -2.25   0.025    -.3189757   -.0216637
        Oil_exp |   .6268037   .4940405     1.27   0.205    -.3414979    1.595105
        maj_pow |   .1640299   .4131032     0.40   0.691    -.6456375    .9736974
      kgd_rival |   .0674417   .3713848     0.18   0.856    -.6604591    .7953425
          _cons |  -5.081126   .4892986   -10.38   0.000    -6.040134   -4.122118
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -555.84322
rescale:       log pseudolikelihood = -341.37475
rescale eq:    log pseudolikelihood = -341.37475

initial:       log pseudolikelihood = -341.37475
rescale:       log pseudolikelihood = -341.37475
rescale eq:    log pseudolikelihood = -341.37475
Iteration 0:   log pseudolikelihood = -341.37475  
Iteration 1:   log pseudolikelihood = -340.97456  
Iteration 2:   log pseudolikelihood = -340.88461  
Iteration 3:   log pseudolikelihood = -340.63149  
Iteration 4:   log pseudolikelihood = -339.88831  
Iteration 5:   log pseudolikelihood = -329.89687  
Iteration 6:   log pseudolikelihood = -326.88955  
Iteration 7:   log pseudolikelihood = -318.35457  
Iteration 8:   log pseudolikelihood = -316.14559  
Iteration 9:   log pseudolikelihood = -315.14954  
Iteration 10:  log pseudolikelihood = -313.35966  
Iteration 11:  log pseudolikelihood = -313.06191  
Iteration 12:  log pseudolikelihood = -312.87149  
Iteration 13:  log pseudolikelihood = -312.84029  
Iteration 14:  log pseudolikelihood = -312.74234  
Iteration 15:  log pseudolikelihood = -312.73027  
Iteration 16:  log pseudolikelihood = -312.67462  
Iteration 17:  log pseudolikelihood =  -312.6633  
Iteration 18:  log pseudolikelihood =  -312.6321  
Iteration 19:  log pseudolikelihood = -312.62586  
Iteration 20:  log pseudolikelihood = -312.60587  
Iteration 21:  log pseudolikelihood = -312.60254  
Iteration 22:  log pseudolikelihood =  -312.5884  
Iteration 23:  log pseudolikelihood = -312.58662  
Iteration 24:  log pseudolikelihood = -312.57599  
Iteration 25:  log pseudolikelihood = -312.57506  
Iteration 26:  log pseudolikelihood = -312.56676  
Iteration 27:  log pseudolikelihood = -312.56632  
Iteration 28:  log pseudolikelihood = -312.55968  
Iteration 29:  log pseudolikelihood = -312.55954  
Iteration 30:  log pseudolikelihood = -312.55415  
Iteration 31:  log pseudolikelihood = -312.53131  
Iteration 32:  log pseudolikelihood = -312.52725  
Iteration 33:  log pseudolikelihood = -312.52632  
Iteration 34:  log pseudolikelihood = -312.52587  
Iteration 35:  log pseudolikelihood = -312.52554  
Iteration 36:  log pseudolikelihood = -312.52524  
Iteration 37:  log pseudolikelihood = -312.52501  
Iteration 38:  log pseudolikelihood =  -312.5248  
Iteration 39:  log pseudolikelihood = -312.52463  
Iteration 40:  log pseudolikelihood = -312.52447  
Iteration 41:  log pseudolikelihood = -312.52435  
Iteration 42:  log pseudolikelihood = -312.52424  
Iteration 43:  log pseudolikelihood = -312.52415  
Iteration 44:  log pseudolikelihood = -312.52407  
Iteration 45:  log pseudolikelihood = -312.52401  
Iteration 46:  log pseudolikelihood = -312.52394  
Iteration 47:  log pseudolikelihood =  -312.5239  
Iteration 48:  log pseudolikelihood = -312.52385  
Iteration 49:  log pseudolikelihood = -312.52382  
Iteration 50:  log pseudolikelihood = -312.52378  
Iteration 51:  log pseudolikelihood = -312.52376  
Iteration 52:  log pseudolikelihood = -312.52373  
Iteration 53:  log pseudolikelihood = -312.52372  
Iteration 54:  log pseudolikelihood = -312.52369  
Iteration 55:  log pseudolikelihood = -312.52369  
Iteration 56:  log pseudolikelihood = -312.52367  
Iteration 57:  log pseudolikelihood = -312.52366  
Iteration 58:  log pseudolikelihood = -312.52365  
Iteration 59:  log pseudolikelihood = -312.52364  
Iteration 60:  log pseudolikelihood = -312.52363  
Iteration 61:  log pseudolikelihood = -312.52306  
Iteration 62:  log pseudolikelihood = -312.52304  
Iteration 63:  log pseudolikelihood = -312.52304  
Iteration 64:  log pseudolikelihood = -312.52304  
Iteration 65:  log pseudolikelihood = -312.52304  
Iteration 66:  log pseudolikelihood = -312.52303  
Iteration 67:  log pseudolikelihood = -312.52303  
Iteration 68:  log pseudolikelihood = -312.52303  
Iteration 69:  log pseudolikelihood = -312.52303  
Iteration 70:  log pseudolikelihood = -312.52303  
Iteration 71:  log pseudolikelihood = -312.52303  
Iteration 72:  log pseudolikelihood = -312.52303  
Iteration 73:  log pseudolikelihood = -312.52303  
Iteration 74:  log pseudolikelihood = -312.52303  
Iteration 75:  log pseudolikelihood = -312.52303  
Iteration 76:  log pseudolikelihood = -312.52303  
Iteration 77:  log pseudolikelihood = -312.52303  
Iteration 78:  log pseudolikelihood = -312.52303  
Iteration 79:  log pseudolikelihood = -312.52303  
Iteration 80:  log pseudolikelihood = -312.52303  
Iteration 81:  log pseudolikelihood = -312.52303  
Iteration 82:  log pseudolikelihood = -312.52303  
Iteration 83:  log pseudolikelihood = -312.52303  
Iteration 84:  log pseudolikelihood = -312.52303  
Iteration 85:  log pseudolikelihood = -312.52303  
Iteration 86:  log pseudolikelihood = -312.52303  
Iteration 87:  log pseudolikelihood = -312.52303  
Iteration 88:  log pseudolikelihood = -312.52303  
Iteration 89:  log pseudolikelihood = -312.52303  
Iteration 90:  log pseudolikelihood = -312.52303  
Iteration 91:  log pseudolikelihood = -312.52303  
Iteration 92:  log pseudolikelihood = -312.52303  
Iteration 93:  log pseudolikelihood = -312.52303  
Iteration 94:  log pseudolikelihood = -312.52303  
Iteration 95:  log pseudolikelihood = -312.52303  
Iteration 96:  log pseudolikelihood = -312.52303  
Iteration 97:  log pseudolikelihood = -312.52303  
Iteration 98:  log pseudolikelihood = -312.52303  
Iteration 99:  log pseudolikelihood = -312.52303  
Iteration 100: log pseudolikelihood = -312.52303  
Iteration 101: log pseudolikelihood = -312.52303  
Iteration 102: log pseudolikelihood = -312.52303  
Iteration 103: log pseudolikelihood = -312.52303  
Iteration 104: log pseudolikelihood = -312.52303  
Iteration 105: log pseudolikelihood = -312.52303  
Iteration 106: log pseudolikelihood = -312.52303  
Iteration 107: log pseudolikelihood = -312.52303  
Iteration 108: log pseudolikelihood = -312.52303  
Iteration 109: log pseudolikelihood = -312.52303  
Iteration 110: log pseudolikelihood = -312.52303  
Iteration 111: log pseudolikelihood = -312.52303  
Iteration 112: log pseudolikelihood = -312.52303  
Iteration 113: log pseudolikelihood = -312.52303  
Iteration 114: log pseudolikelihood = -312.52303  
Iteration 115: log pseudolikelihood = -312.52303  
Iteration 116: log pseudolikelihood = -312.52303  
Iteration 117: log pseudolikelihood = -312.52303  
Iteration 118: log pseudolikelihood = -312.52303  
Iteration 119: log pseudolikelihood = -312.52303  
Iteration 120: log pseudolikelihood = -312.52303  
Iteration 121: log pseudolikelihood = -312.52303  
Iteration 122: log pseudolikelihood = -312.52303  
Iteration 123: log pseudolikelihood = -312.52303  
Iteration 124: log pseudolikelihood = -312.52303  
Iteration 125: log pseudolikelihood = -312.52303  
Iteration 126: log pseudolikelihood = -312.52303  
Iteration 127: log pseudolikelihood = -312.52303  
Iteration 128: log pseudolikelihood = -312.52303  
Iteration 129: log pseudolikelihood = -312.52303  
Iteration 130: log pseudolikelihood = -312.52303  
Iteration 131: log pseudolikelihood = -312.52303  
Iteration 132: log pseudolikelihood = -312.52303  
Iteration 133: log pseudolikelihood = -312.52303  
Iteration 134: log pseudolikelihood = -312.52303  
Iteration 135: log pseudolikelihood = -312.52303  
Iteration 136: log pseudolikelihood = -312.52303  
Iteration 137: log pseudolikelihood = -312.52303  
Iteration 138: log pseudolikelihood = -312.52303  
Iteration 139: log pseudolikelihood = -312.52303  
Iteration 140: log pseudolikelihood = -312.52303  
Iteration 141: log pseudolikelihood = -312.52303  
Iteration 142: log pseudolikelihood = -312.52303  
Iteration 143: log pseudolikelihood = -312.52303  
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Iteration 145: log pseudolikelihood = -312.52303  
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Iteration 147: log pseudolikelihood = -312.52303  
Iteration 148: log pseudolikelihood = -312.52303  
Iteration 149: log pseudolikelihood = -312.52303  
Iteration 150: log pseudolikelihood = -312.52303  
Iteration 151: log pseudolikelihood = -312.52303  
Iteration 152: log pseudolikelihood = -312.52303  
Iteration 153: log pseudolikelihood = -312.52303  
Iteration 154: log pseudolikelihood = -312.52303  
Iteration 155: log pseudolikelihood = -312.52303  
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Iteration 158: log pseudolikelihood = -312.52303  
Iteration 159: log pseudolikelihood = -312.52303  
Iteration 160: log pseudolikelihood = -312.52303  
Iteration 161: log pseudolikelihood = -312.52303  
Iteration 162: log pseudolikelihood = -312.52303  
Iteration 163: log pseudolikelihood = -312.52303  
Iteration 164: log pseudolikelihood = -312.52303  
Iteration 165: log pseudolikelihood = -312.52303  
Iteration 166: log pseudolikelihood = -312.52303  
Iteration 167: log pseudolikelihood = -312.52303  
Iteration 168: log pseudolikelihood = -312.52303  
Iteration 169: log pseudolikelihood = -312.52303  
Iteration 170: log pseudolikelihood = -312.52303  
Iteration 171: log pseudolikelihood = -312.52303  
Iteration 172: log pseudolikelihood = -312.52303  
Iteration 173: log pseudolikelihood = -312.52303  
Iteration 174: log pseudolikelihood = -312.52303  
Iteration 175: log pseudolikelihood = -312.52303  
Iteration 176: log pseudolikelihood = -312.52303  
Iteration 177: log pseudolikelihood = -312.52303  
Iteration 178: log pseudolikelihood = -312.52303  
Iteration 179: log pseudolikelihood = -312.52303  
Iteration 180: log pseudolikelihood = -312.52303  
Iteration 181: log pseudolikelihood = -312.52303  
Iteration 182: log pseudolikelihood = -312.52303  
Iteration 183: log pseudolikelihood = -312.52303  
Iteration 184: log pseudolikelihood = -312.52303  
Iteration 185: log pseudolikelihood = -312.52303  
Iteration 186: log pseudolikelihood = -312.52303  
Iteration 187: log pseudolikelihood = -312.52303  
Iteration 188: log pseudolikelihood = -312.52303  
Iteration 189: log pseudolikelihood = -312.52303  
Iteration 190: log pseudolikelihood = -312.52303  
Iteration 191: log pseudolikelihood = -312.52303  
Iteration 192: log pseudolikelihood = -312.52303  
Iteration 193: log pseudolikelihood = -312.52303  
Iteration 194: log pseudolikelihood = -312.52303  
Iteration 195: log pseudolikelihood = -312.52303  
Iteration 196: log pseudolikelihood = -312.52303  
Iteration 197: log pseudolikelihood = -312.52303  
Iteration 198: log pseudolikelihood = -312.52303  
Iteration 199: log pseudolikelihood = -312.52303  
Iteration 200: log pseudolikelihood = -312.52303  
Iteration 201: log pseudolikelihood = -312.52303  
Iteration 202: log pseudolikelihood = -312.52303  
Iteration 203: log pseudolikelihood = -312.52303  
Iteration 204: log pseudolikelihood = -312.52303  
Iteration 205: log pseudolikelihood = -312.52303  
Iteration 206: log pseudolikelihood = -312.52303  
Iteration 207: log pseudolikelihood = -312.52303  
Iteration 208: log pseudolikelihood = -312.52303  
Iteration 209: log pseudolikelihood = -312.52303  
Iteration 210: log pseudolikelihood = -312.52303  
Iteration 211: log pseudolikelihood = -312.52303  
Iteration 212: log pseudolikelihood = -312.52303  
Iteration 213: log pseudolikelihood = -312.52303  
Iteration 214: log pseudolikelihood = -312.52303  
Iteration 215: log pseudolikelihood = -312.52303  
Iteration 216: log pseudolikelihood = -312.52303  
Iteration 217: log pseudolikelihood = -312.52303  
Iteration 218: log pseudolikelihood = -312.52303  
Iteration 219: log pseudolikelihood = -312.52303  
Iteration 220: log pseudolikelihood = -312.52303  
Iteration 221: log pseudolikelihood = -312.52303  
Iteration 222: log pseudolikelihood = -312.52303  
Iteration 223: log pseudolikelihood = -312.52303  
Iteration 224: log pseudolikelihood = -312.52303  
Iteration 225: log pseudolikelihood = -312.52303  
Iteration 226: log pseudolikelihood = -312.52303  
Iteration 227: log pseudolikelihood = -312.52303  
Iteration 228: log pseudolikelihood = -312.52303  
Iteration 229: log pseudolikelihood = -312.52303  
Iteration 230: log pseudolikelihood = -312.52303  
Iteration 231: log pseudolikelihood = -312.52303  
Iteration 232: log pseudolikelihood = -312.52303  
Iteration 233: log pseudolikelihood = -312.52303  
Iteration 234: log pseudolikelihood = -312.52303  
Iteration 235: log pseudolikelihood = -312.52303  
Iteration 236: log pseudolikelihood = -312.52303  
Iteration 237: log pseudolikelihood = -312.52303  
Iteration 238: log pseudolikelihood = -312.52303  
Iteration 239: log pseudolikelihood = -312.52303  
Iteration 240: log pseudolikelihood = -312.52303  
Iteration 241: log pseudolikelihood = -312.52303  
Iteration 242: log pseudolikelihood = -312.52303  
Iteration 243: log pseudolikelihood = -312.52303  
Iteration 244: log pseudolikelihood = -312.52303  
Iteration 245: log pseudolikelihood = -312.52303  
Iteration 246: log pseudolikelihood = -312.52303  
Iteration 247: log pseudolikelihood = -312.52303  
Iteration 248: log pseudolikelihood = -312.52303  
Iteration 249: log pseudolikelihood = -312.52303  
Iteration 250: log pseudolikelihood = -312.52303  
Iteration 251: log pseudolikelihood = -312.52303  
Iteration 252: log pseudolikelihood = -312.52303  
Iteration 253: log pseudolikelihood = -312.52303  
Iteration 254: log pseudolikelihood = -312.52303  
Iteration 255: log pseudolikelihood = -312.52303  
Iteration 256: log pseudolikelihood = -312.52303  
Iteration 257: log pseudolikelihood = -312.52303  
Iteration 258: log pseudolikelihood = -312.52303  
Iteration 259: log pseudolikelihood = -312.52303  
Iteration 260: log pseudolikelihood = -312.52303  
Iteration 261: log pseudolikelihood = -312.52303  
Iteration 262: log pseudolikelihood = -312.52303  
Iteration 263: log pseudolikelihood = -312.52303  
Iteration 264: log pseudolikelihood = -312.52303  
Iteration 265: log pseudolikelihood = -312.52303  
Iteration 266: log pseudolikelihood = -312.52303  
Iteration 267: log pseudolikelihood = -312.52303  
Iteration 268: log pseudolikelihood = -312.52303  
Iteration 269: log pseudolikelihood = -312.52303  
Iteration 270: log pseudolikelihood = -312.52303  
Iteration 271: log pseudolikelihood = -312.52303  
Iteration 272: log pseudolikelihood = -312.52303  
Iteration 273: log pseudolikelihood = -312.52303  
Iteration 274: log pseudolikelihood = -312.52303  
Iteration 275: log pseudolikelihood = -312.52303  
Iteration 276: log pseudolikelihood = -312.52303  
Iteration 277: log pseudolikelihood = -312.52303  
Iteration 278: log pseudolikelihood = -312.52303  
Iteration 279: log pseudolikelihood = -312.52303  
Iteration 280: log pseudolikelihood = -312.52303  
Iteration 281: log pseudolikelihood = -312.52303  
Iteration 282: log pseudolikelihood = -312.52303  
Iteration 283: log pseudolikelihood = -312.52303  
Iteration 284: log pseudolikelihood = -312.52303  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      33.80
Log pseudolikelihood = -312.52303               Prob > chi2       =     0.0013

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   5.205449   2.746872     1.90   0.058     -.178321    10.58922
  capcheither20 |   3.288364   1.513431     2.17   0.030      .322094    6.254634
regchangeeither |   1.639891   1.243289     1.32   0.187    -.7969108    4.076693
   chTEAltorBmt |   .5811784   1.115638     0.52   0.602    -1.605431    2.767788
        alformA |   2.460223   1.147902     2.14   0.032     .2103754    4.710071
          demdA |   .4917717   1.066276     0.46   0.645    -1.598091    2.581635
      asymmetry |  -1.907705   .9435126    -2.02   0.043    -3.756956   -.0584544
       nomicoop |  -3.422092   1.083803    -3.16   0.002    -5.546306   -1.297877
         treaty |   1.699794   1.935635     0.88   0.380     -2.09398    5.493568
        milinst |   4.830613   1.569504     3.08   0.002     1.754442    7.906783
           time |  -.1022617   .2640995    -0.39   0.699    -.6198872    .4153637
     timesquare |  -.0048555   .0107674    -0.45   0.652    -.0259593    .0162483
       timecube |   .0001133   .0001348     0.84   0.400    -.0001508    .0003775
          _cons |  -2.571858   1.369735    -1.88   0.060    -5.256489     .112774
----------------+----------------------------------------------------------------
G               |
    TerrThreat3 |   4.649708     .98244     4.73   0.000     2.724161    6.575255
    num_borders |   .0419237   .0495815     0.85   0.398    -.0552542    .1391017
        coldwar |   .4365275   .2831556     1.54   0.123    -.1184474    .9915024
    Lenergy_pop |  -.1715894   .0743214    -2.31   0.021    -.3172567   -.0259222
        Oil_exp |   .6844943   .4857324     1.41   0.159    -.2675238    1.636512
        maj_pow |   .2502641   .4100102     0.61   0.542    -.5533412    1.053869
      kgd_rival |   .0413038   .3734213     0.11   0.912    -.6905885    .7731961
          _cons |  -5.015383   .4635511   -10.82   0.000    -5.923927    -4.10684
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -553.21601
rescale:       log pseudolikelihood = -340.20152
rescale eq:    log pseudolikelihood = -340.20152

initial:       log pseudolikelihood = -340.20152
rescale:       log pseudolikelihood = -340.20152
rescale eq:    log pseudolikelihood = -340.20152
Iteration 0:   log pseudolikelihood = -340.20152  
Iteration 1:   log pseudolikelihood =  -339.5666  
Iteration 2:   log pseudolikelihood = -339.36939  
Iteration 3:   log pseudolikelihood = -339.20135  
Iteration 4:   log pseudolikelihood = -338.70435  
Iteration 5:   log pseudolikelihood = -328.36912  
Iteration 6:   log pseudolikelihood = -325.13612  
Iteration 7:   log pseudolikelihood = -315.92018  
Iteration 8:   log pseudolikelihood = -313.67187  
Iteration 9:   log pseudolikelihood = -312.33319  
Iteration 10:  log pseudolikelihood =  -310.8941  
Iteration 11:  log pseudolikelihood = -310.63675  
Iteration 12:  log pseudolikelihood =  -310.3631  
Iteration 13:  log pseudolikelihood = -310.33494  
Iteration 14:  log pseudolikelihood =  -310.1983  
Iteration 15:  log pseudolikelihood = -310.17779  
Iteration 16:  log pseudolikelihood = -310.10526  
Iteration 17:  log pseudolikelihood = -310.08598  
Iteration 18:  log pseudolikelihood = -310.04742  
Iteration 19:  log pseudolikelihood = -310.03581  
Iteration 20:  log pseudolikelihood = -310.01178  
Iteration 21:  log pseudolikelihood = -310.00439  
Iteration 22:  log pseudolikelihood = -309.98773  
Iteration 23:  log pseudolikelihood = -309.98265  
Iteration 24:  log pseudolikelihood =  -309.9704  
Iteration 25:  log pseudolikelihood =  -309.9667  
Iteration 26:  log pseudolikelihood = -309.95739  
Iteration 27:  log pseudolikelihood =  -309.9546  
Iteration 28:  log pseudolikelihood = -309.94742  
Iteration 29:  log pseudolikelihood = -309.94527  
Iteration 30:  log pseudolikelihood = -309.93967  
Iteration 31:  log pseudolikelihood = -309.93801  
Iteration 32:  log pseudolikelihood = -309.93362  
Iteration 33:  log pseudolikelihood = -309.93232  
Iteration 34:  log pseudolikelihood = -309.92887  
Iteration 35:  log pseudolikelihood = -309.92786  
Iteration 36:  log pseudolikelihood = -309.92513  
Iteration 37:  log pseudolikelihood = -309.92433  
Iteration 38:  log pseudolikelihood = -309.92216  
Iteration 39:  log pseudolikelihood = -309.92153  
Iteration 40:  log pseudolikelihood = -309.91979  
Iteration 41:  log pseudolikelihood = -309.91929  
Iteration 42:  log pseudolikelihood = -309.91789  
Iteration 43:  log pseudolikelihood = -309.91749  
Iteration 44:  log pseudolikelihood = -309.91635  
Iteration 45:  log pseudolikelihood = -309.91603  
Iteration 46:  log pseudolikelihood =  -309.9151  
Iteration 47:  log pseudolikelihood = -309.91483  
Iteration 48:  log pseudolikelihood = -309.91407  
Iteration 49:  log pseudolikelihood = -309.91384  
Iteration 50:  log pseudolikelihood = -309.91321  
Iteration 51:  log pseudolikelihood = -309.91302  
Iteration 52:  log pseudolikelihood = -309.91249  
Iteration 53:  log pseudolikelihood = -309.91233  
Iteration 54:  log pseudolikelihood = -309.91188  
Iteration 55:  log pseudolikelihood = -309.91175  
Iteration 56:  log pseudolikelihood = -309.91137  
Iteration 57:  log pseudolikelihood = -309.91125  
Iteration 58:  log pseudolikelihood = -309.91093  
Iteration 59:  log pseudolikelihood = -309.91082  
Iteration 60:  log pseudolikelihood = -309.91054  
Iteration 61:  log pseudolikelihood = -309.91045  
Iteration 62:  log pseudolikelihood = -309.91021  
Iteration 63:  log pseudolikelihood = -309.91013  
Iteration 64:  log pseudolikelihood = -309.90992  
Iteration 65:  log pseudolikelihood = -309.90985  
Iteration 66:  log pseudolikelihood = -309.90967  
Iteration 67:  log pseudolikelihood =  -309.9096  
Iteration 68:  log pseudolikelihood = -309.90945  
Iteration 69:  log pseudolikelihood = -309.90939  
Iteration 70:  log pseudolikelihood = -309.90925  
Iteration 71:  log pseudolikelihood = -309.90919  
Iteration 72:  log pseudolikelihood = -309.90908  
Iteration 73:  log pseudolikelihood = -309.90902  
Iteration 74:  log pseudolikelihood = -309.90892  
Iteration 75:  log pseudolikelihood = -309.90887  
Iteration 76:  log pseudolikelihood = -309.90878  
Iteration 77:  log pseudolikelihood = -309.90874  
Iteration 78:  log pseudolikelihood = -309.90866  
Iteration 79:  log pseudolikelihood = -309.90862  
Iteration 80:  log pseudolikelihood = -309.90855  
Iteration 81:  log pseudolikelihood = -309.90851  
Iteration 82:  log pseudolikelihood = -309.90845  
Iteration 83:  log pseudolikelihood = -309.90841  
Iteration 84:  log pseudolikelihood = -309.90836  
Iteration 85:  log pseudolikelihood = -309.90833  
Iteration 86:  log pseudolikelihood = -309.90828  
Iteration 87:  log pseudolikelihood = -309.90825  
Iteration 88:  log pseudolikelihood =  -309.9082  
Iteration 89:  log pseudolikelihood = -309.90818  
Iteration 90:  log pseudolikelihood = -309.90814  
Iteration 91:  log pseudolikelihood = -309.90811  
Iteration 92:  log pseudolikelihood = -309.90808  
Iteration 93:  log pseudolikelihood = -309.90806  
Iteration 94:  log pseudolikelihood = -309.90802  
Iteration 95:  log pseudolikelihood = -309.90801  
Iteration 96:  log pseudolikelihood = -309.90798  
Iteration 97:  log pseudolikelihood = -309.90796  
Iteration 98:  log pseudolikelihood = -309.90793  
Iteration 99:  log pseudolikelihood = -309.90792  
Iteration 100: log pseudolikelihood = -309.90789  
Iteration 101: log pseudolikelihood = -309.90788  
Iteration 102: log pseudolikelihood = -309.90786  
Iteration 103: log pseudolikelihood = -309.90784  
Iteration 104: log pseudolikelihood = -309.90782  
Iteration 105: log pseudolikelihood = -309.90781  
Iteration 106: log pseudolikelihood =  -309.9078  
Iteration 107: log pseudolikelihood = -309.90778  
Iteration 108: log pseudolikelihood = -309.90777  
Iteration 109: log pseudolikelihood = -309.90776  
Iteration 110: log pseudolikelihood = -309.90774  
Iteration 111: log pseudolikelihood = -309.90773  
Iteration 112: log pseudolikelihood = -309.90772  
Iteration 113: log pseudolikelihood = -309.90771  
Iteration 114: log pseudolikelihood =  -309.9077  
Iteration 115: log pseudolikelihood = -309.90769  
Iteration 116: log pseudolikelihood = -309.90768  
Iteration 117: log pseudolikelihood = -309.90768  
Iteration 118: log pseudolikelihood = -309.90767  
Iteration 119: log pseudolikelihood = -309.90766  
Iteration 120: log pseudolikelihood = -309.90765  
Iteration 121: log pseudolikelihood = -309.90765  
Iteration 122: log pseudolikelihood = -309.90764  
Iteration 123: log pseudolikelihood = -309.90763  
Iteration 124: log pseudolikelihood = -309.90763  
Iteration 125: log pseudolikelihood = -309.90762  
Iteration 126: log pseudolikelihood = -309.90761  
Iteration 127: log pseudolikelihood = -309.90761  
Iteration 128: log pseudolikelihood =  -309.9076  
Iteration 129: log pseudolikelihood =  -309.9076  
Iteration 130: log pseudolikelihood =  -309.9076  
Iteration 131: log pseudolikelihood = -309.90759  
Iteration 132: log pseudolikelihood = -309.90759  
Iteration 133: log pseudolikelihood = -309.90758  
Iteration 134: log pseudolikelihood = -309.90758  
Iteration 135: log pseudolikelihood = -309.90758  
Iteration 136: log pseudolikelihood = -309.90757  
Iteration 137: log pseudolikelihood = -309.90757  
Iteration 138: log pseudolikelihood = -309.90757  
Iteration 139: log pseudolikelihood = -309.90756  
Iteration 140: log pseudolikelihood = -309.90756  
Iteration 141: log pseudolikelihood = -309.90756  
Iteration 142: log pseudolikelihood = -309.90755  
Iteration 143: log pseudolikelihood = -309.90755  
Iteration 144: log pseudolikelihood = -309.90755  
Iteration 145: log pseudolikelihood = -309.90755  
Iteration 146: log pseudolikelihood = -309.90755  
Iteration 147: log pseudolikelihood = -309.90754  
Iteration 148: log pseudolikelihood = -309.90754  
Iteration 149: log pseudolikelihood = -309.90754  
Iteration 150: log pseudolikelihood = -309.90754  
Iteration 151: log pseudolikelihood = -309.90754  
Iteration 152: log pseudolikelihood = -309.90753  
Iteration 153: log pseudolikelihood = -309.90753  
Iteration 154: log pseudolikelihood = -309.90753  
Iteration 155: log pseudolikelihood = -309.90753  
Iteration 156: log pseudolikelihood = -309.90753  
Iteration 157: log pseudolikelihood = -309.90753  
Iteration 158: log pseudolikelihood = -309.90753  
Iteration 159: log pseudolikelihood = -309.90753  
Iteration 160: log pseudolikelihood = -309.90752  
Iteration 161: log pseudolikelihood = -309.90752  
Iteration 162: log pseudolikelihood = -309.90752  
Iteration 163: log pseudolikelihood = -309.90752  
Iteration 164: log pseudolikelihood = -309.90752  
Iteration 165: log pseudolikelihood = -309.90752  
Iteration 166: log pseudolikelihood = -309.90752  
Iteration 167: log pseudolikelihood = -309.90752  
Iteration 168: log pseudolikelihood = -309.90752  
Iteration 169: log pseudolikelihood = -309.90752  
Iteration 170: log pseudolikelihood = -309.90752  
Iteration 171: log pseudolikelihood = -309.90751  
Iteration 172: log pseudolikelihood = -309.90751  
Iteration 173: log pseudolikelihood = -309.90751  
Iteration 174: log pseudolikelihood = -309.90751  
Iteration 175: log pseudolikelihood = -309.90751  
Iteration 176: log pseudolikelihood = -309.90751  
Iteration 177: log pseudolikelihood = -309.90751  
Iteration 178: log pseudolikelihood = -309.90751  
Iteration 179: log pseudolikelihood = -309.90751  
Iteration 180: log pseudolikelihood = -309.90751  
Iteration 181: log pseudolikelihood = -309.90751  
Iteration 182: log pseudolikelihood = -309.90751  
Iteration 183: log pseudolikelihood = -309.90751  
Iteration 184: log pseudolikelihood = -309.90751  
Iteration 185: log pseudolikelihood = -309.90751  
Iteration 186: log pseudolikelihood = -309.90751  
Iteration 187: log pseudolikelihood = -309.90751  
Iteration 188: log pseudolikelihood = -309.90751  
Iteration 189: log pseudolikelihood = -309.90751  
Iteration 190: log pseudolikelihood = -309.90751  
Iteration 191: log pseudolikelihood = -309.90751  
Iteration 192: log pseudolikelihood = -309.90751  
Iteration 193: log pseudolikelihood = -309.90751  
Iteration 194: log pseudolikelihood = -309.90751  
Iteration 195: log pseudolikelihood = -309.90751  
Iteration 196: log pseudolikelihood = -309.90751  
Iteration 197: log pseudolikelihood = -309.90751  
Iteration 198: log pseudolikelihood =  -309.9075  
Iteration 199: log pseudolikelihood =  -309.9075  
Iteration 200: log pseudolikelihood =  -309.9075  
Iteration 201: log pseudolikelihood =  -309.9075  
Iteration 202: log pseudolikelihood =  -309.9075  
Iteration 203: log pseudolikelihood =  -309.9075  
Iteration 204: log pseudolikelihood =  -309.9075  
Iteration 205: log pseudolikelihood =  -309.9075  
Iteration 206: log pseudolikelihood =  -309.9075  
Iteration 207: log pseudolikelihood =  -309.9075  
Iteration 208: log pseudolikelihood =  -309.9075  
Iteration 209: log pseudolikelihood =  -309.9075  
Iteration 210: log pseudolikelihood =  -309.9075  
Iteration 211: log pseudolikelihood =  -309.9075  
Iteration 212: log pseudolikelihood =  -309.9075  
Iteration 213: log pseudolikelihood =  -309.9075  
Iteration 214: log pseudolikelihood =  -309.9075  
Iteration 215: log pseudolikelihood =  -309.9075  
Iteration 216: log pseudolikelihood =  -309.9075  
Iteration 217: log pseudolikelihood =  -309.9075  
Iteration 218: log pseudolikelihood =  -309.9075  
Iteration 219: log pseudolikelihood =  -309.9075  
Iteration 220: log pseudolikelihood =  -309.9075  
Iteration 221: log pseudolikelihood =  -309.9075  
Iteration 222: log pseudolikelihood =  -309.9075  
Iteration 223: log pseudolikelihood =  -309.9075  
Iteration 224: log pseudolikelihood =  -309.9075  
Iteration 225: log pseudolikelihood =  -309.9075  
Iteration 226: log pseudolikelihood =  -309.9075  
Iteration 227: log pseudolikelihood =  -309.9075  
Iteration 228: log pseudolikelihood =  -309.9075  
Iteration 229: log pseudolikelihood =  -309.9075  
Iteration 230: log pseudolikelihood =  -309.9075  
Iteration 231: log pseudolikelihood =  -309.9075  
Iteration 232: log pseudolikelihood =  -309.9075  
Iteration 233: log pseudolikelihood =  -309.9075  
Iteration 234: log pseudolikelihood =  -309.9075  
Iteration 235: log pseudolikelihood =  -309.9075  
Iteration 236: log pseudolikelihood =  -309.9075  
Iteration 237: log pseudolikelihood =  -309.9075  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      34.68
Log pseudolikelihood =  -309.9075               Prob > chi2       =     0.0009

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   5.244155   2.776609     1.89   0.059     -.197899    10.68621
  capcheither20 |   3.200084   1.431237     2.24   0.025     .3949107    6.005257
regchangeeither |   1.611153   1.185918     1.36   0.174    -.7132028    3.935509
   chTEAltorBmt |   .5915849   1.089922     0.54   0.587    -1.544622    2.727792
        alformA |   2.442743   1.080172     2.26   0.024      .325645    4.559841
          demdA |   .6414443   1.064453     0.60   0.547    -1.444846    2.727735
      asymmetry |   -1.89478   .9272404    -2.04   0.041    -3.712138   -.0774225
       nomicoop |  -3.332616   1.083616    -3.08   0.002    -5.456465   -1.208768
         treaty |   1.764077   1.882588     0.94   0.349    -1.925726    5.453881
        milinst |   4.778009   1.596378     2.99   0.003     1.649166    7.906851
           time |  -.0981628   .2567522    -0.38   0.702    -.6013879    .4050622
     timesquare |  -.0048864   .0105133    -0.46   0.642    -.0254921    .0157193
       timecube |   .0001134   .0001313     0.86   0.388    -.0001439    .0003707
          _cons |  -2.693035   1.383003    -1.95   0.052    -5.403671    .0176001
----------------+----------------------------------------------------------------
G               |
    TerrThreat4 |   4.816044   .8598743     5.60   0.000     3.130721    6.501367
    num_borders |      .0479     .04885     0.98   0.327    -.0478443    .1436443
        coldwar |   .5169788   .2867947     1.80   0.071    -.0451285    1.079086
    Lenergy_pop |  -.1711298   .0749404    -2.28   0.022    -.3180104   -.0242492
        Oil_exp |   .6702417   .4647449     1.44   0.149    -.2406415    1.581125
        maj_pow |   .1949346   .4082855     0.48   0.633    -.6052902    .9951594
      kgd_rival |   .0397683   .3725863     0.11   0.915    -.6904874    .7700241
          _cons |  -5.103544   .4683366   -10.90   0.000    -6.021466   -4.185621
---------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -556.64877
rescale:       log pseudolikelihood = -341.39711
rescale eq:    log pseudolikelihood = -341.39711

initial:       log pseudolikelihood = -341.39711
rescale:       log pseudolikelihood = -341.39711
rescale eq:    log pseudolikelihood = -341.39711
Iteration 0:   log pseudolikelihood = -341.39711  
Iteration 1:   log pseudolikelihood = -341.11404  
Iteration 2:   log pseudolikelihood = -340.98599  
Iteration 3:   log pseudolikelihood = -340.52181  
Iteration 4:   log pseudolikelihood = -339.23595  
Iteration 5:   log pseudolikelihood = -328.59125  
Iteration 6:   log pseudolikelihood =  -324.6969  
Iteration 7:   log pseudolikelihood = -316.02839  
Iteration 8:   log pseudolikelihood = -314.78101  
Iteration 9:   log pseudolikelihood = -313.59322  
Iteration 10:  log pseudolikelihood = -312.86545  
Iteration 11:  log pseudolikelihood = -312.41421  
Iteration 12:  log pseudolikelihood = -312.00051  
Iteration 13:  log pseudolikelihood = -311.83009  
Iteration 14:  log pseudolikelihood = -311.69568  
Iteration 15:  log pseudolikelihood = -311.65379  
Iteration 16:  log pseudolikelihood = -311.58113  
Iteration 17:  log pseudolikelihood = -311.55106  
Iteration 18:  log pseudolikelihood = -311.51185  
Iteration 19:  log pseudolikelihood = -311.49358  
Iteration 20:  log pseudolikelihood = -311.46979  
Iteration 21:  log pseudolikelihood = -311.45788  
Iteration 22:  log pseudolikelihood = -311.44203  
Iteration 23:  log pseudolikelihood = -311.43368  
Iteration 24:  log pseudolikelihood = -311.42255  
Iteration 25:  log pseudolikelihood = -311.41641  
Iteration 26:  log pseudolikelihood = -311.40837  
Iteration 27:  log pseudolikelihood = -311.40376  
Iteration 28:  log pseudolikelihood = -311.39786  
Iteration 29:  log pseudolikelihood = -311.39436  
Iteration 30:  log pseudolikelihood = -311.39001  
Iteration 31:  log pseudolikelihood = -311.38735  
Iteration 32:  log pseudolikelihood = -311.38414  
Iteration 33:  log pseudolikelihood = -311.38211  
Iteration 34:  log pseudolikelihood = -311.37974  
Iteration 35:  log pseudolikelihood =  -311.3782  
Iteration 36:  log pseudolikelihood = -311.37644  
Iteration 37:  log pseudolikelihood = -311.37527  
Iteration 38:  log pseudolikelihood = -311.37397  
Iteration 39:  log pseudolikelihood = -311.37309  
Iteration 40:  log pseudolikelihood = -311.37212  
Iteration 41:  log pseudolikelihood = -311.37145  
Iteration 42:  log pseudolikelihood = -311.37074  
Iteration 43:  log pseudolikelihood = -311.37023  
Iteration 44:  log pseudolikelihood =  -311.3697  
Iteration 45:  log pseudolikelihood = -311.36932  
Iteration 46:  log pseudolikelihood = -311.36892  
Iteration 47:  log pseudolikelihood = -311.36863  
Iteration 48:  log pseudolikelihood = -311.36834  
Iteration 49:  log pseudolikelihood = -311.36812  
Iteration 50:  log pseudolikelihood =  -311.3679  
Iteration 51:  log pseudolikelihood = -311.36773  
Iteration 52:  log pseudolikelihood = -311.36757  
Iteration 53:  log pseudolikelihood = -311.36744  
Iteration 54:  log pseudolikelihood = -311.36732  
Iteration 55:  log pseudolikelihood = -311.36722  
Iteration 56:  log pseudolikelihood = -311.36713  
Iteration 57:  log pseudolikelihood = -311.36705  
Iteration 58:  log pseudolikelihood = -311.36698  
Iteration 59:  log pseudolikelihood = -311.36693  
Iteration 60:  log pseudolikelihood = -311.36688  
Iteration 61:  log pseudolikelihood = -311.36683  
Iteration 62:  log pseudolikelihood = -311.36679  
Iteration 63:  log pseudolikelihood = -311.36676  
Iteration 64:  log pseudolikelihood = -311.36673  
Iteration 65:  log pseudolikelihood =  -311.3667  
Iteration 66:  log pseudolikelihood = -311.36668  
Iteration 67:  log pseudolikelihood = -311.36666  
Iteration 68:  log pseudolikelihood = -311.36664  
Iteration 69:  log pseudolikelihood = -311.36663  
Iteration 70:  log pseudolikelihood = -311.36662  
Iteration 71:  log pseudolikelihood = -311.36661  
Iteration 72:  log pseudolikelihood = -311.36659  
Iteration 73:  log pseudolikelihood = -311.36659  
Iteration 74:  log pseudolikelihood = -311.36658  
Iteration 75:  log pseudolikelihood = -311.36657  
Iteration 76:  log pseudolikelihood = -311.36657  
Iteration 77:  log pseudolikelihood = -311.36656  
Iteration 78:  log pseudolikelihood = -311.36656  
Iteration 79:  log pseudolikelihood = -311.36655  
Iteration 80:  log pseudolikelihood = -311.36655  
Iteration 81:  log pseudolikelihood = -311.36655  
Iteration 82:  log pseudolikelihood = -311.36654  
Iteration 83:  log pseudolikelihood = -311.36654  
Iteration 84:  log pseudolikelihood = -311.36654  
Iteration 85:  log pseudolikelihood = -311.36654  
Iteration 86:  log pseudolikelihood = -311.36653  
Iteration 87:  log pseudolikelihood = -311.36653  
Iteration 88:  log pseudolikelihood = -311.36653  
Iteration 89:  log pseudolikelihood = -311.36653  
Iteration 90:  log pseudolikelihood = -311.36653  
Iteration 91:  log pseudolikelihood = -311.36653  
Iteration 92:  log pseudolikelihood = -311.36653  
Iteration 93:  log pseudolikelihood = -311.36653  
Iteration 94:  log pseudolikelihood = -311.36653  
Iteration 95:  log pseudolikelihood = -311.36653  
Iteration 96:  log pseudolikelihood = -311.36653  
Iteration 97:  log pseudolikelihood = -311.36653  
Iteration 98:  log pseudolikelihood = -311.36653  
Iteration 99:  log pseudolikelihood = -311.36653  
Iteration 100: log pseudolikelihood = -311.36652  
Iteration 101: log pseudolikelihood = -311.36652  
Iteration 102: log pseudolikelihood = -311.36652  
Iteration 103: log pseudolikelihood = -311.36652  
Iteration 104: log pseudolikelihood = -311.36652  
Iteration 105: log pseudolikelihood = -311.36652  
Iteration 106: log pseudolikelihood = -311.36652  
Iteration 107: log pseudolikelihood = -311.36652  
Iteration 108: log pseudolikelihood = -311.36652  
Iteration 109: log pseudolikelihood = -311.36652  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      35.04
Log pseudolikelihood = -311.36652               Prob > chi2       =     0.0008

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
B               |
     wcchangedA |   5.145127   2.726212     1.89   0.059    -.1981506     10.4884
  capcheither20 |   3.181267   1.417298     2.24   0.025     .4034142    5.959119
regchangeeither |   1.552711    1.15998     1.34   0.181    -.7208082    3.826231
   chTEAltorBmt |   .5820503   1.072619     0.54   0.587    -1.520244    2.684344
        alformA |   2.451145   1.045445     2.34   0.019     .4021107     4.50018
          demdA |   .6047477   1.024009     0.59   0.555    -1.402273    2.611768
      asymmetry |  -1.878053   .9177308    -2.05   0.041    -3.676772   -.0793336
       nomicoop |  -3.357371   1.084968    -3.09   0.002     -5.48387   -1.230872
         treaty |   1.714115   1.819629     0.94   0.346    -1.852292    5.280521
        milinst |   4.873176   1.365426     3.57   0.000     2.196991    7.549362
           time |  -.1026766   .2593413    -0.40   0.692    -.6109762    .4056231
     timesquare |  -.0045403   .0106796    -0.43   0.671     -.025472    .0163914
       timecube |   .0001085   .0001332     0.81   0.415    -.0001525    .0003695
          _cons |  -2.632761   1.325873    -1.99   0.047    -5.231425   -.0340969
----------------+----------------------------------------------------------------
G               |
    TerrThreat5 |   4.874782   .9539927     5.11   0.000     3.004991    6.744573
    num_borders |   .0471546   .0487845     0.97   0.334    -.0484613    .1427705
        coldwar |   .4770694   .2785835     1.71   0.087    -.0689442    1.023083
    Lenergy_pop |  -.1698333   .0753338    -2.25   0.024    -.3174849   -.0221818
        Oil_exp |   .6375762   .4648845     1.37   0.170    -.2735806    1.548733
        maj_pow |   .1691822   .4013443     0.42   0.673    -.6174382    .9558027
      kgd_rival |   .0395832   .3734976     0.11   0.916    -.6924587     .771625
          _cons |  -5.027126   .4567406   -11.01   0.000    -5.922321   -4.131931
---------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       5.179 \\
            &     (2.799) \\
capcheither20&       3.260*\\
            &     (1.605) \\
regchangeeither&       1.613 \\
            &     (1.257) \\
chTEAltorBmt&       0.607 \\
            &     (1.144) \\
alformA     &       2.487*\\
            &     (1.204) \\
demdA       &       0.545 \\
            &     (1.090) \\
asymmetry   &      -1.871*\\
            &     (0.944) \\
nomicoop    &      -3.362*\\
            &     (1.084) \\
treaty      &       1.669 \\
            &     (1.977) \\
milinst     &       4.839*\\
            &     (1.585) \\
time        &      -0.104 \\
            &     (0.268) \\
timesquare  &      -0.005 \\
            &     (0.011) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -2.612 \\
            &     (1.383) \\
G           &             \\
TerrThreat5 &       4.835*\\
            &     (0.963) \\
num_borders &       0.045 \\
            &     (0.049) \\
coldwar     &       0.481 \\
            &     (0.293) \\
Lenergy_pop &      -0.171*\\
            &     (0.075) \\
Oil_exp     &       0.650 \\
            &     (0.480) \\
maj_pow     &       0.207 \\
            &     (0.411) \\
kgd_rival   &       0.046 \\
            &     (0.373) \\
_cons       &      -5.056*\\
            &     (0.472) \\

.                         matrix rename ll ll_rub_nodem;

.                         estimates store nodem;

.                         matrix list ll_rub_nodem;

symmetric ll_rub_nodem[1,1]
            c1
r1  -311.36129

.                                                 /* Weak link */
>                 use Threat_MI, clear;

.                 gen Threat_combine = (TerrThreat1 + TerrThreat2 + TerrThreat3 + TerrThreat4 
>                         + TerrThreat5 + TerrThreat6 + TerrThreat7 + TerrThreat8 + TerrThreat9 + TerrThreat10)/10;

.                 rename Threat_combine Threat_combineB;

.                 rename ccode1 ccode2;

.                 merge 1:m ccode2 year using NiemanGibler_demdiff_ally, gen(_merge_threatB);

    Result                           # of obs.
    -----------------------------------------
    not matched                         7,524
        from master                     7,524  (_merge_threatB==1)
        from using                          0  (_merge_threatB==2)

    matched                             6,842  (_merge_threatB==3)
    -----------------------------------------

.                 keep if _merge_threatB==3;
(7,524 observations deleted)

.                 /*weak link measure of threat */
>                 gen threatweak = min(Threat_combine, Threat_combineB);

.                 /* Replicate Leeds et al to identify shared observations*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(230 missing values generated)

.                 matrix lmv_b = e(b);

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate threatweak num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -391.76869  
Iteration 2:   log pseudolikelihood = -373.35436  
Iteration 3:   log pseudolikelihood =  -373.2647  
Iteration 4:   log pseudolikelihood =  -373.2646  
Iteration 5:   log pseudolikelihood =  -373.2646  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      47.60
                                                Prob > chi2       =     0.0000
Log pseudolikelihood =  -373.2646               Pseudo R2         =     0.0600

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
        threatweak |   2.455203   .9894534     2.48   0.013     .5159095    4.394496
num_dems_on_border |  -.3042319   .1360636    -2.24   0.025    -.5709117   -.0375521
       num_borders |   .0859013   .0491126     1.75   0.080    -.0103577    .1821604
           coldwar |  -.1532839   .2422702    -0.63   0.527    -.6281248     .321557
       Lenergy_pop |  -.2076308   .0717927    -2.89   0.004    -.3483419   -.0669197
           Oil_exp |   .3377808   .3135043     1.08   0.281    -.2766763    .9522379
           maj_pow |   .7205341   .3555613     2.03   0.043     .0236467    1.417422
         kgd_rival |   .4325097   .3566619     1.21   0.225    -.2665349    1.131554
             _cons |  -5.303426   .3491734   -15.19   0.000    -5.987793   -4.619058
------------------------------------------------------------------------------------

.                 matrix B1_weak = e(b);

.                         gen GT=1 if e(sample)==1;
(224 missing values generated)

.                 matrix B1 = e(b);

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /* Rerun on Leeds et al on same sample (GL) to get starting values */
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                                 /* Estimates with weak link of threat */
>                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = threatweak num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 B1_weak , copy ;

.                 ml search;
initial:       log pseudolikelihood = -558.30504
rescale:       log pseudolikelihood = -342.54578
rescale eq:    log pseudolikelihood = -342.54578

.                 ml maximize, diff;

initial:       log pseudolikelihood = -342.54578
rescale:       log pseudolikelihood = -342.54578
rescale eq:    log pseudolikelihood = -342.54578
Iteration 0:   log pseudolikelihood = -342.54578  
Iteration 1:   log pseudolikelihood =  -326.8807  (not concave)
Iteration 2:   log pseudolikelihood = -326.14298  (not concave)
Iteration 3:   log pseudolikelihood = -326.05002  (not concave)
Iteration 4:   log pseudolikelihood = -325.91379  (not concave)
Iteration 5:   log pseudolikelihood =  -325.8021  (not concave)
Iteration 6:   log pseudolikelihood = -325.69669  (not concave)
Iteration 7:   log pseudolikelihood =  -325.6205  (not concave)
Iteration 8:   log pseudolikelihood = -325.57182  (not concave)
Iteration 9:   log pseudolikelihood = -325.51244  (not concave)
Iteration 10:  log pseudolikelihood =  -325.4633  (not concave)
Iteration 11:  log pseudolikelihood = -325.41429  (not concave)
Iteration 12:  log pseudolikelihood = -325.36458  (not concave)
Iteration 13:  log pseudolikelihood = -325.31353  (not concave)
Iteration 14:  log pseudolikelihood = -325.26155  (not concave)
Iteration 15:  log pseudolikelihood = -325.20846  (not concave)
Iteration 16:  log pseudolikelihood = -325.15421  (not concave)
Iteration 17:  log pseudolikelihood = -325.09843  (not concave)
Iteration 18:  log pseudolikelihood = -325.04129  (not concave)
Iteration 19:  log pseudolikelihood = -324.98247  (not concave)
Iteration 20:  log pseudolikelihood =  -324.9221  (not concave)
Iteration 21:  log pseudolikelihood = -324.85981  (not concave)
Iteration 22:  log pseudolikelihood = -324.79577  (not concave)
Iteration 23:  log pseudolikelihood = -324.72962  (not concave)
Iteration 24:  log pseudolikelihood = -324.66155  (not concave)
Iteration 25:  log pseudolikelihood = -324.59117  (not concave)
Iteration 26:  log pseudolikelihood = -324.51871  (not concave)
Iteration 27:  log pseudolikelihood = -324.44376  (not concave)
Iteration 28:  log pseudolikelihood = -324.36661  (not concave)
Iteration 29:  log pseudolikelihood = -324.28681  (not concave)
Iteration 30:  log pseudolikelihood = -324.20473  (not concave)
Iteration 31:  log pseudolikelihood = -324.11987  (not concave)
Iteration 32:  log pseudolikelihood = -324.03268  (not concave)
Iteration 33:  log pseudolikelihood = -323.94264  (not concave)
Iteration 34:  log pseudolikelihood = -323.85029  (not concave)
Iteration 35:  log pseudolikelihood = -323.75509  (not concave)
Iteration 36:  log pseudolikelihood = -323.65765  (not concave)
Iteration 37:  log pseudolikelihood = -323.55743  (not concave)
Iteration 38:  log pseudolikelihood = -323.45512  (not concave)
Iteration 39:  log pseudolikelihood = -323.35018  (not concave)
Iteration 40:  log pseudolikelihood = -323.24338  (not concave)
Iteration 41:  log pseudolikelihood = -323.13418  (not concave)
Iteration 42:  log pseudolikelihood = -323.02343  (not concave)
Iteration 43:  log pseudolikelihood = -322.91057  (not concave)
Iteration 44:  log pseudolikelihood = -322.79654  (not concave)
Iteration 45:  log pseudolikelihood = -322.68076  (not concave)
Iteration 46:  log pseudolikelihood = -322.56424  (not concave)
Iteration 47:  log pseudolikelihood = -322.44637  (not concave)
Iteration 48:  log pseudolikelihood =  -322.3282  (not concave)
Iteration 49:  log pseudolikelihood =  -322.2091  (not concave)
Iteration 50:  log pseudolikelihood = -322.09015  (not concave)
Iteration 51:  log pseudolikelihood =  -321.9707  (not concave)
Iteration 52:  log pseudolikelihood = -321.85181  (not concave)
Iteration 53:  log pseudolikelihood = -321.73282  (not concave)
Iteration 54:  log pseudolikelihood = -321.61478  
Iteration 55:  log pseudolikelihood = -317.78329  
Iteration 56:  log pseudolikelihood = -314.19376  
Iteration 57:  log pseudolikelihood = -313.61171  
Iteration 58:  log pseudolikelihood = -313.03143  
Iteration 59:  log pseudolikelihood = -312.90856  
Iteration 60:  log pseudolikelihood = -312.87648  
Iteration 61:  log pseudolikelihood = -312.87139  
Iteration 62:  log pseudolikelihood = -312.87109  
Iteration 63:  log pseudolikelihood = -312.87108  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      19.45
Log pseudolikelihood = -312.87108               Prob > chi2       =     0.1097

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |    5.13206   11.67877     0.44   0.660    -17.75792    28.02203
     capcheither20 |   7.122481   11.12112     0.64   0.522    -14.67451    28.91948
   regchangeeither |   1.785785   1.836404     0.97   0.331      -1.8135     5.38507
      chTEAltorBmt |   2.010241   2.485071     0.81   0.419    -2.860409     6.88089
           alformA |   6.530765   10.95099     0.60   0.551    -14.93277    27.99431
             demdA |   1.027938    4.33425     0.24   0.813    -7.467036    9.522912
         asymmetry |  -.9688574   1.360938    -0.71   0.477    -3.636247    1.698533
          nomicoop |  -2.466165   1.667423    -1.48   0.139    -5.734254    .8019247
            treaty |  -.6218236    3.12892    -0.20   0.842    -6.754395    5.510748
           milinst |   7.098245   6.755085     1.05   0.293    -6.141477    20.33797
              time |  -.1510722   .3659655    -0.41   0.680    -.8683514    .5662071
        timesquare |  -.0062211   .0159138    -0.39   0.696    -.0374116    .0249693
          timecube |   .0001281     .00017     0.75   0.451    -.0002051    .0004612
             _cons |  -5.344676   14.70738    -0.36   0.716    -34.17061    23.48126
-------------------+----------------------------------------------------------------
G                  |
        threatweak |   2.489882   .9344286     2.66   0.008     .6584353    4.321328
num_dems_on_border |  -.3565356   .1332391    -2.68   0.007    -.6176795   -.0953918
       num_borders |    .163508   .0460038     3.55   0.000     .0733423    .2536738
           coldwar |   .2114154   .2520481     0.84   0.402    -.2825897    .7054205
       Lenergy_pop |  -.1707079   .0865522    -1.97   0.049    -.3403471   -.0010688
           Oil_exp |   .3297535   .3826204     0.86   0.389    -.4201687    1.079676
           maj_pow |    .405853   .3913582     1.04   0.300    -.3611951    1.172901
         kgd_rival |    .205998   .4119993     0.50   0.617    -.6015058    1.013502
             _cons |  -4.773548   .4216298   -11.32   0.000    -5.599927   -3.947169
------------------------------------------------------------------------------------

.                 estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05 ) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       5.132 \\
            &    (11.679) \\
capcheither20&       7.122 \\
            &    (11.121) \\
regchangeeither&       1.786 \\
            &     (1.836) \\
chTEAltorBmt&       2.010 \\
            &     (2.485) \\
alformA     &       6.531 \\
            &    (10.951) \\
demdA       &       1.028 \\
            &     (4.334) \\
asymmetry   &      -0.969 \\
            &     (1.361) \\
nomicoop    &      -2.466 \\
            &     (1.667) \\
treaty      &      -0.622 \\
            &     (3.129) \\
milinst     &       7.098 \\
            &     (6.755) \\
time        &      -0.151 \\
            &     (0.366) \\
timesquare  &      -0.006 \\
            &     (0.016) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -5.345 \\
            &    (14.707) \\
G           &             \\
threatweak  &       2.490*\\
            &     (0.934) \\
num_dems_on_border&      -0.357*\\
            &     (0.133) \\
num_borders &       0.164*\\
            &     (0.046) \\
coldwar     &       0.211 \\
            &     (0.252) \\
Lenergy_pop &      -0.171*\\
            &     (0.087) \\
Oil_exp     &       0.330 \\
            &     (0.383) \\
maj_pow     &       0.406 \\
            &     (0.391) \\
kgd_rival   &       0.206 \\
            &     (0.412) \\
_cons       &      -4.774*\\
            &     (0.422) \\

.                                 estimates store ThreatWeak;

.                                         /* Democratic Allies*/  
>                 /* Load data set*/
>                 use NiemanGibler_demdiff_ally, clear;

.                 gen DemAlliance = 0;

.                         replace DemAlliance=1 if demdA==1 & demdB==1;
(852 real changes made)

.                 /* Replicate Leeds et al to identify shared observations*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(230 missing values generated)

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate Threat_combine DemAlliance num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -372.74088  
Iteration 2:   log pseudolikelihood = -367.79138  
Iteration 3:   log pseudolikelihood = -367.66626  
Iteration 4:   log pseudolikelihood = -367.66594  
Iteration 5:   log pseudolikelihood = -367.66594  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(9)      =      65.79
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -367.66594               Pseudo R2         =     0.0741

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    Threat_combine |   3.803378    .906109     4.20   0.000     2.027437    5.579318
       DemAlliance |  -.1428805   .4937044    -0.29   0.772    -1.110523    .8247624
num_dems_on_border |  -.2428099   .1566819    -1.55   0.121    -.5499009     .064281
       num_borders |   .0066106    .063298     0.10   0.917    -.1174512    .1306725
           coldwar |  -.1185123   .2499653    -0.47   0.635    -.6084353    .3714108
       Lenergy_pop |  -.2039177   .0725346    -2.81   0.005    -.3460829   -.0617525
           Oil_exp |   .2864243   .3232066     0.89   0.376     -.347049    .9198977
           maj_pow |   .5902008   .3615918     1.63   0.103    -.1185061    1.298908
         kgd_rival |   .2822755   .3583583     0.79   0.431    -.4200939     .984645
             _cons |  -5.183101   .3614244   -14.34   0.000     -5.89148   -4.474722
------------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;
(224 missing values generated)

.                 matrix B1 = e(b);

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /* Rerun on Leeds et al on same sample (GL) to get starting values */
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 /* Estimates with democratic alliances */
>                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = Threat_combine DemAlliance num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 B1 , copy ;

.                 ml search;
initial:       log pseudolikelihood = -552.56912
rescale:       log pseudolikelihood = -339.45416
rescale eq:    log pseudolikelihood = -339.45416

.                 ml maximize, diff;

initial:       log pseudolikelihood = -339.45416
rescale:       log pseudolikelihood = -339.45416
rescale eq:    log pseudolikelihood = -339.45416
Iteration 0:   log pseudolikelihood = -339.45416  
Iteration 1:   log pseudolikelihood = -320.22835  (not concave)
Iteration 2:   log pseudolikelihood = -319.36629  (not concave)
Iteration 3:   log pseudolikelihood =  -319.1599  (not concave)
Iteration 4:   log pseudolikelihood = -318.96306  (not concave)
Iteration 5:   log pseudolikelihood =  -318.7958  (not concave)
Iteration 6:   log pseudolikelihood = -318.63616  (not concave)
Iteration 7:   log pseudolikelihood = -318.47842  (not concave)
Iteration 8:   log pseudolikelihood =  -318.3205  (not concave)
Iteration 9:   log pseudolikelihood = -318.16271  (not concave)
Iteration 10:  log pseudolikelihood = -318.00625  (not concave)
Iteration 11:  log pseudolikelihood = -317.84864  (not concave)
Iteration 12:  log pseudolikelihood = -317.69068  (not concave)
Iteration 13:  log pseudolikelihood = -317.53149  (not concave)
Iteration 14:  log pseudolikelihood = -317.37231  (not concave)
Iteration 15:  log pseudolikelihood = -317.21165  (not concave)
Iteration 16:  log pseudolikelihood = -317.05088  (not concave)
Iteration 17:  log pseudolikelihood = -316.88892  (not concave)
Iteration 18:  log pseudolikelihood = -316.72728  (not concave)
Iteration 19:  log pseudolikelihood = -316.56475  (not concave)
Iteration 20:  log pseudolikelihood = -316.40294  (not concave)
Iteration 21:  log pseudolikelihood = -316.24072  (not concave)
Iteration 22:  log pseudolikelihood = -316.07976  (not concave)
Iteration 23:  log pseudolikelihood = -315.91889  (not concave)
Iteration 24:  log pseudolikelihood = -315.75978  (not concave)
Iteration 25:  log pseudolikelihood = -315.60127  (not concave)
Iteration 26:  log pseudolikelihood = -315.44501  
Iteration 27:  log pseudolikelihood = -312.77947  
Iteration 28:  log pseudolikelihood =  -306.9494  (not concave)
Iteration 29:  log pseudolikelihood = -306.70322  (not concave)
Iteration 30:  log pseudolikelihood = -306.64062  (not concave)
Iteration 31:  log pseudolikelihood = -306.57812  
Iteration 32:  log pseudolikelihood = -306.24156  
Iteration 33:  log pseudolikelihood = -306.17426  
Iteration 34:  log pseudolikelihood = -306.17349  
Iteration 35:  log pseudolikelihood = -306.17348  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      41.05
Log pseudolikelihood = -306.17348               Prob > chi2       =     0.0001

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.331119   6.029369     0.88   0.377    -6.486226    17.14846
     capcheither20 |   2.856497   1.955754     1.46   0.144    -.9767107    6.689705
   regchangeeither |   1.644374   1.147494     1.43   0.152    -.6046721     3.89342
      chTEAltorBmt |   .8195087   1.175771     0.70   0.486     -1.48496    3.123977
           alformA |   2.361633   1.383204     1.71   0.088    -.3493966    5.072663
             demdA |   1.633471   1.874624     0.87   0.384    -2.040723    5.307666
         asymmetry |  -1.542248    .907315    -1.70   0.089    -3.320553    .2360566
          nomicoop |  -2.535325   1.160659    -2.18   0.029    -4.810175   -.2604758
            treaty |   1.435046    2.27354     0.63   0.528    -3.021012    5.891103
           milinst |   5.116829    2.00834     2.55   0.011     1.180554    9.053104
              time |  -.1238618   .2612816    -0.47   0.635    -.6359644    .3882407
        timesquare |  -.0021954   .0102454    -0.21   0.830     -.022276    .0178853
          timecube |   .0000765    .000127     0.60   0.547    -.0001725    .0003255
             _cons |  -3.264704   1.483757    -2.20   0.028    -6.172815    -.356593
-------------------+----------------------------------------------------------------
G                  |
    Threat_combine |   4.054944   .9784404     4.14   0.000     2.137236    5.972652
       DemAlliance |  -.5478674   .5138144    -1.07   0.286    -1.554925    .4591903
num_dems_on_border |    -.28288   .1222867    -2.31   0.021    -.5225575   -.0432026
       num_borders |   .1113381   .0607117     1.83   0.067    -.0076547    .2303309
           coldwar |   .4380284   .3010526     1.45   0.146    -.1520239    1.028081
       Lenergy_pop |  -.1392437    .087742    -1.59   0.113    -.3112148    .0327275
           Oil_exp |   .6108143   .5045602     1.21   0.226    -.3781054    1.599734
           maj_pow |   .4162998   .5284924     0.79   0.431    -.6195263    1.452126
         kgd_rival |   .0235823   .3953619     0.06   0.952    -.7513128    .7984773
             _cons |  -4.848595   .5740071    -8.45   0.000    -5.973628   -3.723562
------------------------------------------------------------------------------------

.                 estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05 ) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       5.331 \\
            &     (6.029) \\
capcheither20&       2.856 \\
            &     (1.956) \\
regchangeeither&       1.644 \\
            &     (1.147) \\
chTEAltorBmt&       0.820 \\
            &     (1.176) \\
alformA     &       2.362 \\
            &     (1.383) \\
demdA       &       1.633 \\
            &     (1.875) \\
asymmetry   &      -1.542 \\
            &     (0.907) \\
nomicoop    &      -2.535*\\
            &     (1.161) \\
treaty      &       1.435 \\
            &     (2.274) \\
milinst     &       5.117*\\
            &     (2.008) \\
time        &      -0.124 \\
            &     (0.261) \\
timesquare  &      -0.002 \\
            &     (0.010) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -3.265*\\
            &     (1.484) \\
G           &             \\
Threat_combine&       4.055*\\
            &     (0.978) \\
DemAlliance &      -0.548 \\
            &     (0.514) \\
num_dems_on_border&      -0.283*\\
            &     (0.122) \\
num_borders &       0.111 \\
            &     (0.061) \\
coldwar     &       0.438 \\
            &     (0.301) \\
Lenergy_pop &      -0.139 \\
            &     (0.088) \\
Oil_exp     &       0.611 \\
            &     (0.505) \\
maj_pow     &       0.416 \\
            &     (0.528) \\
kgd_rival   &       0.024 \\
            &     (0.395) \\
_cons       &      -4.849*\\
            &     (0.574) \\

.                 estimates store DemAllies;

.                                         /* Table A.6 Results */
>         estout dem nodem ThreatWeak DemAllies, stats(ll N)
>         cells(b(fmt(3) star) se(par))
>         modelwidth(8)
>         starlevels(* 0.05) legend
>         varwidth(15)
>         style(tex) replace;

               &     dem &   nodem &ThreatWeak &DemAllies \\
               &    b/se &    b/se &    b/se &    b/se \\
B              &         &         &         &         \\
wcchangedA     &   7.369 &   5.179 &   5.132 &   5.331 \\
               & (6.126) & (2.799) &(11.679) & (6.029) \\
capcheither20  &   2.747*&   3.260*&   7.122 &   2.856 \\
               & (1.161) & (1.605) &(11.121) & (1.956) \\
regchangeeither&   1.634 &   1.613 &   1.786 &   1.644 \\
               & (1.000) & (1.257) & (1.836) & (1.147) \\
chTEAltorBmt   &   0.907 &   0.607 &   2.010 &   0.820 \\
               & (1.084) & (1.144) & (2.485) & (1.176) \\
alformA        &   2.332*&   2.487*&   6.531 &   2.362 \\
               & (0.844) & (1.204) &(10.951) & (1.383) \\
demdA          &   2.518 &   0.545 &   1.028 &   1.633 \\
               & (2.021) & (1.090) & (4.334) & (1.875) \\
asymmetry      &  -1.367 &  -1.871*&  -0.969 &  -1.542 \\
               & (0.794) & (0.944) & (1.361) & (0.907) \\
nomicoop       &  -2.792*&  -3.362*&  -2.466 &  -2.535*\\
               & (1.236) & (1.084) & (1.667) & (1.161) \\
treaty         &   2.390 &   1.669 &  -0.622 &   1.435 \\
               & (1.664) & (1.977) & (3.129) & (2.274) \\
milinst        &   3.449*&   4.839*&   7.098 &   5.117*\\
               & (1.045) & (1.585) & (6.755) & (2.008) \\
time           &  -0.200 &  -0.104 &  -0.151 &  -0.124 \\
               & (0.251) & (0.268) & (0.366) & (0.261) \\
timesquare     &   0.001 &  -0.005 &  -0.006 &  -0.002 \\
               & (0.011) & (0.011) & (0.016) & (0.010) \\
timecube       &   0.000 &   0.000 &   0.000 &   0.000 \\
               & (0.000) & (0.000) & (0.000) & (0.000) \\
_cons          &  -3.748*&  -2.612 &  -5.345 &  -3.265*\\
               & (1.843) & (1.383) &(14.707) & (1.484) \\
G              &         &         &         &         \\
TerrThreat5    &   4.202*&   4.835*&         &         \\
               & (0.910) & (0.963) &         &         \\
demdA          &  -1.120*&         &         &         \\
               & (0.558) &         &         &         \\
coldwar        &   0.459 &   0.481 &   0.211 &   0.438 \\
               & (0.272) & (0.293) & (0.252) & (0.301) \\
Lenergy_pop    &  -0.126 &  -0.171*&  -0.171*&  -0.139 \\
               & (0.090) & (0.075) & (0.087) & (0.088) \\
Oil_exp        &   0.498 &   0.650 &   0.330 &   0.611 \\
               & (0.415) & (0.480) & (0.383) & (0.505) \\
maj_pow        &   0.500 &   0.207 &   0.406 &   0.416 \\
               & (0.414) & (0.411) & (0.391) & (0.528) \\
kgd_rival      &   0.040 &   0.046 &   0.206 &   0.024 \\
               & (0.375) & (0.373) & (0.412) & (0.395) \\
num_borders    &         &   0.045 &   0.164*&   0.111 \\
               &         & (0.049) & (0.046) & (0.061) \\
threatweak     &         &         &   2.490*&         \\
               &         &         & (0.934) &         \\
num_dems_on_border&         &         &  -0.357*&  -0.283*\\
               &         &         & (0.133) & (0.122) \\
Threat_combine &         &         &         &   4.055*\\
               &         &         &         & (0.978) \\
DemAlliance    &         &         &         &  -0.548 \\
               &         &         &         & (0.514) \\
_cons          &  -4.382*&  -5.056*&  -4.774*&  -4.849*\\
               & (0.508) & (0.472) & (0.422) & (0.574) \\
ll             &         &         &-312.871 &-306.173 \\
N              &         &         &6395.000 &6395.000 \\
* p<0.05

.                                 /* Table A.7 */
>                 /* Threat Formation */
>                 /* Load data */
>                 #delimit;
delimiter now ;
.                 use NiemanGibler_demdiff_ally, clear;

.                 /* Generate threat at alliance formation */
>                 egen dyad = group(ccode1 ccode2 atopidphase);

.                 sort dyad year;

.                 by dyad: gen _t = _n;

.                 by dyad: gen tf1 = TerrThreat1 if _t==1;
(6,372 missing values generated)

.                 egen Threat_form1 = max(tf1), by(dyad);

.                 by dyad: gen tf2 = TerrThreat2 if _t==1;
(6,372 missing values generated)

.                 egen Threat_form2 = max(tf2), by(dyad);

.                 by dyad: gen tf3 = TerrThreat3 if _t==1;
(6,372 missing values generated)

.                 egen Threat_form3 = max(tf3), by(dyad);

.                 by dyad: gen tf4 = TerrThreat4 if _t==1;
(6,372 missing values generated)

.                 egen Threat_form4 = max(tf4), by(dyad);

.                 by dyad: gen tf5 = TerrThreat5 if _t==1;
(6,372 missing values generated)

.                 egen Threat_form5 = max(tf5), by(dyad);

.                 /* Replicate Leeds et al to identify shared observations*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(230 missing values generated)

.                 matrix lmv_b = e(b);

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate Threat_form2 num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv, cluster(atopidphase) robust ;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -381.54689  
Iteration 2:   log pseudolikelihood = -375.88056  
Iteration 3:   log pseudolikelihood = -375.82391  
Iteration 4:   log pseudolikelihood = -375.82387  
Iteration 5:   log pseudolikelihood = -375.82387  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      40.18
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -375.82387               Pseudo R2         =     0.0536

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
      Threat_form2 |   .1052765   1.280993     0.08   0.935    -2.405424    2.615977
num_dems_on_border |  -.3388309   .1350623    -2.51   0.012    -.6035481   -.0741137
       num_borders |   .1091691   .0558853     1.95   0.051     -.000364    .2187023
           coldwar |  -.1949981   .2404036    -0.81   0.417    -.6661806    .2761843
       Lenergy_pop |  -.2187675   .0723197    -3.03   0.002    -.3605115   -.0770236
           Oil_exp |   .2981155   .3126275     0.95   0.340    -.3146232    .9108542
           maj_pow |   .7275069   .3646036     2.00   0.046     .0128971    1.442117
         kgd_rival |   .5244643   .3563445     1.47   0.141    -.1739581    1.222887
             _cons |  -5.263455   .3569412   -14.75   0.000    -5.963046   -4.563863
------------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;
(224 missing values generated)

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /* Rerun on Leeds et al on same sample (GL)*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 /*get starting values */
>                 logit violate Threat_form2 num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv if GL==1, cluster(atopidphase) robust ;

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood = -361.85924  
Iteration 2:   log pseudolikelihood = -355.09188  
Iteration 3:   log pseudolikelihood = -355.03349  
Iteration 4:   log pseudolikelihood = -355.03347  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(8)      =      41.28
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -355.03347               Pseudo R2         =     0.0573

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
      Threat_form2 |    .159579   1.275832     0.13   0.900    -2.341005    2.660163
num_dems_on_border |   -.341623   .1371803    -2.49   0.013    -.6104915   -.0727545
       num_borders |   .0995284   .0560726     1.77   0.076    -.0103718    .2094287
           coldwar |  -.2740406   .2495387    -1.10   0.272    -.7631274    .2150462
       Lenergy_pop |  -.2281486   .0763221    -2.99   0.003    -.3777372     -.07856
           Oil_exp |   .3166456   .3268936     0.97   0.333    -.3240541    .9573453
           maj_pow |   .8708527   .3790867     2.30   0.022     .1278564    1.613849
         kgd_rival |   .4656635   .3755627     1.24   0.215    -.2704259    1.201753
             _cons |  -5.206803    .369664   -14.09   0.000    -5.931331   -4.482275
------------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                                 /* Estimate with threat formation */
>                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = Threat_form`i' num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         matrix chi`i' = e(chi2);
 10.                         nois _dots `i' 0;
 11.                 };
initial:       log pseudolikelihood = -561.68526
rescale:       log pseudolikelihood = -343.83296
rescale eq:    log pseudolikelihood = -343.83296

initial:       log pseudolikelihood = -343.83296
rescale:       log pseudolikelihood = -343.83296
rescale eq:    log pseudolikelihood = -343.83296
Iteration 0:   log pseudolikelihood = -343.83296  
Iteration 1:   log pseudolikelihood = -329.14702  (not concave)
Iteration 2:   log pseudolikelihood = -328.37087  (not concave)
Iteration 3:   log pseudolikelihood = -328.27692  (not concave)
Iteration 4:   log pseudolikelihood = -328.18257  (not concave)
Iteration 5:   log pseudolikelihood = -328.13772  (not concave)
Iteration 6:   log pseudolikelihood = -328.05113  (not concave)
Iteration 7:   log pseudolikelihood = -328.00512  (not concave)
Iteration 8:   log pseudolikelihood = -327.93151  (not concave)
Iteration 9:   log pseudolikelihood = -327.86451  (not concave)
Iteration 10:  log pseudolikelihood = -327.33484  (not concave)
Iteration 11:  log pseudolikelihood = -327.06737  (not concave)
Iteration 12:  log pseudolikelihood = -327.02117  (not concave)
Iteration 13:  log pseudolikelihood = -326.97482  (not concave)
Iteration 14:  log pseudolikelihood = -326.48651  (not concave)
Iteration 15:  log pseudolikelihood = -325.65665  (not concave)
Iteration 16:  log pseudolikelihood = -325.27208  (not concave)
Iteration 17:  log pseudolikelihood = -325.08487  (not concave)
Iteration 18:  log pseudolikelihood = -324.90393  (not concave)
Iteration 19:  log pseudolikelihood = -324.78624  (not concave)
Iteration 20:  log pseudolikelihood = -324.68363  (not concave)
Iteration 21:  log pseudolikelihood = -324.56213  (not concave)
Iteration 22:  log pseudolikelihood = -324.37572  (not concave)
Iteration 23:  log pseudolikelihood = -324.21934  (not concave)
Iteration 24:  log pseudolikelihood =  -324.0769  (not concave)
Iteration 25:  log pseudolikelihood = -323.29411  
Iteration 26:  log pseudolikelihood = -318.54044  
Iteration 27:  log pseudolikelihood = -316.01565  
Iteration 28:  log pseudolikelihood = -315.56693  
Iteration 29:  log pseudolikelihood = -315.41464  
Iteration 30:  log pseudolikelihood = -315.37773  
Iteration 31:  log pseudolikelihood = -315.37154  
Iteration 32:  log pseudolikelihood = -315.37131  
Iteration 33:  log pseudolikelihood = -315.37131  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      19.52
Log pseudolikelihood = -315.37131               Prob > chi2       =     0.1077

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.064323    10.6371     0.48   0.634    -15.78402    25.91266
     capcheither20 |   6.831542   11.87221     0.58   0.565    -16.43756    30.10065
   regchangeeither |   1.864903   1.766046     1.06   0.291    -1.596483     5.32629
      chTEAltorBmt |   1.977251    2.84877     0.69   0.488    -3.606236    7.560738
           alformA |   6.107264   11.77661     0.52   0.604    -16.97447      29.189
             demdA |     1.0465   4.093118     0.26   0.798    -6.975863    9.068864
         asymmetry |  -.9903119   1.259924    -0.79   0.432    -3.459717    1.479093
          nomicoop |  -2.345936   1.354177    -1.73   0.083    -5.000074    .3082027
            treaty |  -.3483042   2.351875    -0.15   0.882    -4.957894    4.261285
           milinst |   6.865545   7.238175     0.95   0.343    -7.321018    21.05211
              time |   -.169212   .3785725    -0.45   0.655    -.9112004    .5727765
        timesquare |  -.0052648   .0195083    -0.27   0.787    -.0435004    .0329708
          timecube |   .0001192   .0002027     0.59   0.557    -.0002782    .0005165
             _cons |  -5.329289   14.54324    -0.37   0.714    -33.83352    23.17494
-------------------+----------------------------------------------------------------
G                  |
      Threat_form1 |  -.2722687   1.372251    -0.20   0.843    -2.961832    2.417295
num_dems_on_border |  -.3863414   .1209916    -3.19   0.001    -.6234805   -.1492023
       num_borders |   .1953358   .0614129     3.18   0.001     .0749687     .315703
           coldwar |   .1404979   .2596869     0.54   0.588     -.368479    .6494748
       Lenergy_pop |  -.1778952   .0878594    -2.02   0.043    -.3500965   -.0056939
           Oil_exp |   .3261542   .4045518     0.81   0.420    -.4667529    1.119061
           maj_pow |   .4047444   .4038652     1.00   0.316    -.3868169    1.196306
         kgd_rival |   .3141639   .4178855     0.75   0.452    -.5048766    1.133204
             _cons |  -4.720767   .4340858   -10.88   0.000    -5.571559   -3.869974
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -561.72235
rescale:       log pseudolikelihood = -343.82587
rescale eq:    log pseudolikelihood = -343.82587

initial:       log pseudolikelihood = -343.82587
rescale:       log pseudolikelihood = -343.82587
rescale eq:    log pseudolikelihood = -343.82587
Iteration 0:   log pseudolikelihood = -343.82587  
Iteration 1:   log pseudolikelihood =  -329.1221  (not concave)
Iteration 2:   log pseudolikelihood = -328.34318  (not concave)
Iteration 3:   log pseudolikelihood = -328.24971  (not concave)
Iteration 4:   log pseudolikelihood = -328.16459  (not concave)
Iteration 5:   log pseudolikelihood = -328.11864  (not concave)
Iteration 6:   log pseudolikelihood = -328.07542  (not concave)
Iteration 7:   log pseudolikelihood = -327.98568  (not concave)
Iteration 8:   log pseudolikelihood = -327.94102  (not concave)
Iteration 9:   log pseudolikelihood = -327.42622  (not concave)
Iteration 10:  log pseudolikelihood = -326.98732  (not concave)
Iteration 11:  log pseudolikelihood = -326.81439  (not concave)
Iteration 12:  log pseudolikelihood = -326.67931  (not concave)
Iteration 13:  log pseudolikelihood = -326.61925  (not concave)
Iteration 14:  log pseudolikelihood = -326.56035  (not concave)
Iteration 15:  log pseudolikelihood = -326.49934  (not concave)
Iteration 16:  log pseudolikelihood = -326.43623  (not concave)
Iteration 17:  log pseudolikelihood = -326.37198  (not concave)
Iteration 18:  log pseudolikelihood = -326.30592  (not concave)
Iteration 19:  log pseudolikelihood = -326.23796  (not concave)
Iteration 20:  log pseudolikelihood = -326.16783  (not concave)
Iteration 21:  log pseudolikelihood = -326.09598  (not concave)
Iteration 22:  log pseudolikelihood = -326.02191  (not concave)
Iteration 23:  log pseudolikelihood = -325.94591  (not concave)
Iteration 24:  log pseudolikelihood = -325.86758  (not concave)
Iteration 25:  log pseudolikelihood = -325.78738  (not concave)
Iteration 26:  log pseudolikelihood = -325.70483  (not concave)
Iteration 27:  log pseudolikelihood = -325.62041  (not concave)
Iteration 28:  log pseudolikelihood = -325.53366  (not concave)
Iteration 29:  log pseudolikelihood = -325.44515  (not concave)
Iteration 30:  log pseudolikelihood =  -325.3544  (not concave)
Iteration 31:  log pseudolikelihood = -325.26204  (not concave)
Iteration 32:  log pseudolikelihood = -325.16758  (not concave)
Iteration 33:  log pseudolikelihood = -325.07172  (not concave)
Iteration 34:  log pseudolikelihood = -324.97395  (not concave)
Iteration 35:  log pseudolikelihood = -324.87504  (not concave)
Iteration 36:  log pseudolikelihood = -324.77448  (not concave)
Iteration 37:  log pseudolikelihood = -324.67307  (not concave)
Iteration 38:  log pseudolikelihood = -324.57028  (not concave)
Iteration 39:  log pseudolikelihood = -324.46697  (not concave)
Iteration 40:  log pseudolikelihood = -324.36259  (not concave)
Iteration 41:  log pseudolikelihood = -324.25801  (not concave)
Iteration 42:  log pseudolikelihood = -324.15268  (not concave)
Iteration 43:  log pseudolikelihood = -324.04748  (not concave)
Iteration 44:  log pseudolikelihood = -323.94183  (not concave)
Iteration 45:  log pseudolikelihood = -323.83663  (not concave)
Iteration 46:  log pseudolikelihood = -323.73127  (not concave)
Iteration 47:  log pseudolikelihood = -323.62663  
Iteration 48:  log pseudolikelihood = -322.52119  
Iteration 49:  log pseudolikelihood = -316.39761  
Iteration 50:  log pseudolikelihood = -315.63545  
Iteration 51:  log pseudolikelihood = -315.44172  
Iteration 52:  log pseudolikelihood = -315.39644  
Iteration 53:  log pseudolikelihood = -315.38535  
Iteration 54:  log pseudolikelihood = -315.38413  
Iteration 55:  log pseudolikelihood =  -315.3841  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      19.85
Log pseudolikelihood =  -315.3841               Prob > chi2       =     0.0989

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |    4.99903   13.11129     0.38   0.703    -20.69862    30.69668
     capcheither20 |   6.757242   14.77556     0.46   0.647    -22.20232     35.7168
   regchangeeither |   1.828301   1.763281     1.04   0.300    -1.627666    5.284269
      chTEAltorBmt |   1.929737   3.406417     0.57   0.571    -4.746717    8.606191
           alformA |    6.03055   14.78571     0.41   0.683     -22.9489       35.01
             demdA |    1.01799   5.108616     0.20   0.842    -8.994713    11.03069
         asymmetry |  -.9840864   1.361608    -0.72   0.470    -3.652789    1.684616
          nomicoop |  -2.371796   1.474536    -1.61   0.108    -5.261833    .5182416
            treaty |  -.3502523   2.567193    -0.14   0.891    -5.381858    4.681353
           milinst |   6.792849   8.836848     0.77   0.442    -10.52706    24.11275
              time |  -.1733781   .4169068    -0.42   0.678    -.9905005    .6437442
        timesquare |  -.0048802   .0226957    -0.22   0.830     -.049363    .0396026
          timecube |    .000114   .0002234     0.51   0.610    -.0003238    .0005518
             _cons |  -5.209496    18.2597    -0.29   0.775    -40.99784    30.57885
-------------------+----------------------------------------------------------------
G                  |
      Threat_form2 |   .1745631   1.262292     0.14   0.890    -2.299483    2.648609
num_dems_on_border |  -.3887181   .1314385    -2.96   0.003    -.6463328   -.1311034
       num_borders |   .1844467   .0593633     3.11   0.002     .0680968    .3007965
           coldwar |   .1194968   .2620618     0.46   0.648    -.3941348    .6331285
       Lenergy_pop |  -.1742007   .0945063    -1.84   0.065    -.3594297    .0110283
           Oil_exp |   .3417041   .4269988     0.80   0.424    -.4951982    1.178606
           maj_pow |   .4139326   .4081734     1.01   0.311    -.3860726    1.213938
         kgd_rival |   .2895213   .4385426     0.66   0.509    -.5700064    1.149049
             _cons |  -4.695038    .443946   -10.58   0.000    -5.565156    -3.82492
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -561.60022
rescale:       log pseudolikelihood = -343.80977
rescale eq:    log pseudolikelihood = -343.80977

initial:       log pseudolikelihood = -343.80977
rescale:       log pseudolikelihood = -343.80977
rescale eq:    log pseudolikelihood = -343.80977
Iteration 0:   log pseudolikelihood = -343.80977  
Iteration 1:   log pseudolikelihood = -329.14976  (not concave)
Iteration 2:   log pseudolikelihood = -328.37596  (not concave)
Iteration 3:   log pseudolikelihood = -328.28235  (not concave)
Iteration 4:   log pseudolikelihood = -328.19246  (not concave)
Iteration 5:   log pseudolikelihood = -328.14694  (not concave)
Iteration 6:   log pseudolikelihood = -327.91301  (not concave)
Iteration 7:   log pseudolikelihood = -327.74601  (not concave)
Iteration 8:   log pseudolikelihood = -327.70201  (not concave)
Iteration 9:   log pseudolikelihood = -327.65664  (not concave)
Iteration 10:  log pseudolikelihood =   -327.627  (not concave)
Iteration 11:  log pseudolikelihood =  -327.5975  (not concave)
Iteration 12:  log pseudolikelihood = -327.47894  (not concave)
Iteration 13:  log pseudolikelihood = -327.41204  (not concave)
Iteration 14:  log pseudolikelihood = -327.37996  (not concave)
Iteration 15:  log pseudolikelihood = -327.30569  (not concave)
Iteration 16:  log pseudolikelihood = -327.17536  (not concave)
Iteration 17:  log pseudolikelihood = -326.06371  (not concave)
Iteration 18:  log pseudolikelihood = -325.04745  (not concave)
Iteration 19:  log pseudolikelihood = -324.83724  (not concave)
Iteration 20:  log pseudolikelihood = -324.66508  (not concave)
Iteration 21:  log pseudolikelihood = -324.54552  (not concave)
Iteration 22:  log pseudolikelihood = -324.43922  (not concave)
Iteration 23:  log pseudolikelihood = -324.29689  (not concave)
Iteration 24:  log pseudolikelihood = -324.12058  (not concave)
Iteration 25:  log pseudolikelihood = -324.02721  (not concave)
Iteration 26:  log pseudolikelihood = -323.78639  
Iteration 27:  log pseudolikelihood = -320.00438  
Iteration 28:  log pseudolikelihood = -316.47058  
Iteration 29:  log pseudolikelihood = -315.77103  
Iteration 30:  log pseudolikelihood = -315.48049  
Iteration 31:  log pseudolikelihood = -315.42081  
Iteration 32:  log pseudolikelihood =  -315.3958  
Iteration 33:  log pseudolikelihood = -315.39255  
Iteration 34:  log pseudolikelihood =  -315.3925  
Iteration 35:  log pseudolikelihood =  -315.3925  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      19.60
Log pseudolikelihood =  -315.3925               Prob > chi2       =     0.1057

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.059603   11.34596     0.45   0.656    -17.17806    27.29727
     capcheither20 |   6.824763   12.64864     0.54   0.589    -17.96611    31.61564
   regchangeeither |   1.850374   1.758331     1.05   0.293    -1.595892     5.29664
      chTEAltorBmt |   1.962589   2.976868     0.66   0.510    -3.871965    7.797143
           alformA |   6.098207   12.57298     0.49   0.628    -18.54438    30.74079
             demdA |   1.042107   4.359646     0.24   0.811    -7.502643    9.586856
         asymmetry |  -.9871333   1.291886    -0.76   0.445    -3.519184    1.544918
          nomicoop |  -2.355208   1.384072    -1.70   0.089     -5.06794    .3575236
            treaty |  -.3446326   2.422881    -0.14   0.887    -5.093391    4.404126
           milinst |   6.849987   7.682677     0.89   0.373    -8.207784    21.90776
              time |  -.1703189   .3863609    -0.44   0.659    -.9275723    .5869345
        timesquare |   -.005151   .0201542    -0.26   0.798    -.0446525    .0343505
          timecube |   .0001175   .0002061     0.57   0.569    -.0002864    .0005214
             _cons |  -5.310869   15.55505    -0.34   0.733    -35.79821    25.17648
-------------------+----------------------------------------------------------------
G                  |
      Threat_form3 |  -.0797615   1.279728    -0.06   0.950    -2.587982    2.428459
num_dems_on_border |  -.3874379   .1241537    -3.12   0.002    -.6307746   -.1441012
       num_borders |   .1907688   .0617484     3.09   0.002     .0697441    .3117935
           coldwar |   .1316616   .2602587     0.51   0.613    -.3784361    .6417593
       Lenergy_pop |  -.1766422   .0899703    -1.96   0.050    -.3529807   -.0003036
           Oil_exp |   .3309201   .4090119     0.81   0.418    -.4707285    1.132569
           maj_pow |   .4108588   .4030738     1.02   0.308    -.3791514    1.200869
         kgd_rival |   .3032378    .423963     0.72   0.474    -.5277144     1.13419
             _cons |  -4.711215   .4411089   -10.68   0.000    -5.575773   -3.846658
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -561.61349
rescale:       log pseudolikelihood = -343.80473
rescale eq:    log pseudolikelihood = -343.80473

initial:       log pseudolikelihood = -343.80473
rescale:       log pseudolikelihood = -343.80473
rescale eq:    log pseudolikelihood = -343.80473
Iteration 0:   log pseudolikelihood = -343.80473  
Iteration 1:   log pseudolikelihood = -329.09743  (not concave)
Iteration 2:   log pseudolikelihood = -328.32321  (not concave)
Iteration 3:   log pseudolikelihood = -328.23006  (not concave)
Iteration 4:   log pseudolikelihood = -328.14593  (not concave)
Iteration 5:   log pseudolikelihood = -328.09878  (not concave)
Iteration 6:   log pseudolikelihood = -328.05576  (not concave)
Iteration 7:   log pseudolikelihood =  -327.9881  (not concave)
Iteration 8:   log pseudolikelihood = -327.92711  (not concave)
Iteration 9:   log pseudolikelihood =  -327.2925  (not concave)
Iteration 10:  log pseudolikelihood = -326.75643  (not concave)
Iteration 11:  log pseudolikelihood = -326.56683  (not concave)
Iteration 12:  log pseudolikelihood = -326.40496  (not concave)
Iteration 13:  log pseudolikelihood = -326.15038  (not concave)
Iteration 14:  log pseudolikelihood = -325.91311  (not concave)
Iteration 15:  log pseudolikelihood = -325.28803  (not concave)
Iteration 16:  log pseudolikelihood = -324.65436  (not concave)
Iteration 17:  log pseudolikelihood =  -324.2453  (not concave)
Iteration 18:  log pseudolikelihood = -323.97748  (not concave)
Iteration 19:  log pseudolikelihood = -323.80272  (not concave)
Iteration 20:  log pseudolikelihood = -323.68138  (not concave)
Iteration 21:  log pseudolikelihood = -323.57615  
Iteration 22:  log pseudolikelihood = -319.67307  
Iteration 23:  log pseudolikelihood = -316.38706  
Iteration 24:  log pseudolikelihood = -315.75581  
Iteration 25:  log pseudolikelihood = -315.46035  
Iteration 26:  log pseudolikelihood =  -315.4001  
Iteration 27:  log pseudolikelihood =  -315.3744  
Iteration 28:  log pseudolikelihood =  -315.3693  
Iteration 29:  log pseudolikelihood = -315.36832  
Iteration 30:  log pseudolikelihood = -315.36832  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      19.92
Log pseudolikelihood = -315.36832               Prob > chi2       =     0.0973

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.004514   13.75328     0.36   0.716    -21.95142    31.96045
     capcheither20 |    6.76376    15.4739     0.44   0.662    -23.56452    37.09204
   regchangeeither |   1.823354   1.758082     1.04   0.300    -1.622424    5.269131
      chTEAltorBmt |   1.924475   3.502786     0.55   0.583    -4.940859     8.78981
           alformA |   6.033736   15.49456     0.39   0.697    -24.33505    36.40252
             demdA |   1.021489    5.33843     0.19   0.848     -9.44164    11.48462
         asymmetry |  -.9807671   1.395264    -0.70   0.482    -3.715434      1.7539
          nomicoop |  -2.375141   1.497316    -1.59   0.113    -5.309827    .5595447
            treaty |  -.3404765    2.62016    -0.13   0.897    -5.475896    4.794943
           milinst |   6.788583   9.246164     0.73   0.463    -11.33357    24.91073
              time |  -.1738987   .4242719    -0.41   0.682    -1.005456    .6576589
        timesquare |  -.0048305   .0232245    -0.21   0.835    -.0503497    .0406887
          timecube |   .0001133   .0002256     0.50   0.616    -.0003288    .0005553
             _cons |  -5.220204   19.14702    -0.27   0.785    -42.74768    32.30727
-------------------+----------------------------------------------------------------
G                  |
      Threat_form4 |   .2636538   1.221269     0.22   0.829    -2.129989    2.657297
num_dems_on_border |  -.3898172   .1347318    -2.89   0.004    -.6538867   -.1257477
       num_borders |    .181978   .0604766     3.01   0.003      .063446    .3005101
           coldwar |    .114965   .2650797     0.43   0.665    -.4045817    .6345116
       Lenergy_pop |  -.1736353   .0954776    -1.82   0.069    -.3607681    .0134974
           Oil_exp |   .3421815   .4257057     0.80   0.422    -.4921864    1.176549
           maj_pow |   .4166668   .4116758     1.01   0.311    -.3902028    1.223536
         kgd_rival |   .2828035   .4417684     0.64   0.522    -.5830466    1.148654
             _cons |  -4.687971   .4465369   -10.50   0.000    -5.563167   -3.812774
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -561.70853
rescale:       log pseudolikelihood = -343.83564
rescale eq:    log pseudolikelihood = -343.83564

initial:       log pseudolikelihood = -343.83564
rescale:       log pseudolikelihood = -343.83564
rescale eq:    log pseudolikelihood = -343.83564
Iteration 0:   log pseudolikelihood = -343.83564  
Iteration 1:   log pseudolikelihood = -329.14113  (not concave)
Iteration 2:   log pseudolikelihood =  -328.3674  (not concave)
Iteration 3:   log pseudolikelihood = -328.27371  (not concave)
Iteration 4:   log pseudolikelihood = -328.17952  (not concave)
Iteration 5:   log pseudolikelihood = -328.13475  (not concave)
Iteration 6:   log pseudolikelihood = -328.04865  (not concave)
Iteration 7:   log pseudolikelihood = -328.00268  (not concave)
Iteration 8:   log pseudolikelihood = -327.93411  (not concave)
Iteration 9:   log pseudolikelihood = -327.86618  (not concave)
Iteration 10:  log pseudolikelihood = -327.81643  (not concave)
Iteration 11:  log pseudolikelihood = -327.76489  (not concave)
Iteration 12:  log pseudolikelihood = -327.71755  (not concave)
Iteration 13:  log pseudolikelihood = -327.67948  (not concave)
Iteration 14:  log pseudolikelihood = -327.64138  (not concave)
Iteration 15:  log pseudolikelihood = -327.61207  (not concave)
Iteration 16:  log pseudolikelihood = -327.58434  (not concave)
Iteration 17:  log pseudolikelihood = -327.55725  (not concave)
Iteration 18:  log pseudolikelihood = -327.52883  (not concave)
Iteration 19:  log pseudolikelihood = -327.49981  (not concave)
Iteration 20:  log pseudolikelihood = -327.47066  (not concave)
Iteration 21:  log pseudolikelihood =  -327.4411  (not concave)
Iteration 22:  log pseudolikelihood = -327.41073  (not concave)
Iteration 23:  log pseudolikelihood = -327.37973  (not concave)
Iteration 24:  log pseudolikelihood = -327.34808  (not concave)
Iteration 25:  log pseudolikelihood = -327.31575  (not concave)
Iteration 26:  log pseudolikelihood = -327.28255  (not concave)
Iteration 27:  log pseudolikelihood = -327.24856  (not concave)
Iteration 28:  log pseudolikelihood = -327.21365  (not concave)
Iteration 29:  log pseudolikelihood = -327.17785  (not concave)
Iteration 30:  log pseudolikelihood = -327.14101  (not concave)
Iteration 31:  log pseudolikelihood = -327.10317  (not concave)
Iteration 32:  log pseudolikelihood = -327.06417  (not concave)
Iteration 33:  log pseudolikelihood = -327.02408  (not concave)
Iteration 34:  log pseudolikelihood =  -326.9827  (not concave)
Iteration 35:  log pseudolikelihood = -326.94012  (not concave)
Iteration 36:  log pseudolikelihood = -326.89613  (not concave)
Iteration 37:  log pseudolikelihood = -326.85082  (not concave)
Iteration 38:  log pseudolikelihood = -326.80396  (not concave)
Iteration 39:  log pseudolikelihood = -326.75567  (not concave)
Iteration 40:  log pseudolikelihood =  -326.7057  (not concave)
Iteration 41:  log pseudolikelihood = -326.65419  (not concave)
Iteration 42:  log pseudolikelihood = -326.60085  (not concave)
Iteration 43:  log pseudolikelihood = -326.54585  (not concave)
Iteration 44:  log pseudolikelihood =  -326.4889  (not concave)
Iteration 45:  log pseudolikelihood = -326.43019  (not concave)
Iteration 46:  log pseudolikelihood = -326.36938  (not concave)
Iteration 47:  log pseudolikelihood = -326.30673  (not concave)
Iteration 48:  log pseudolikelihood = -326.24187  (not concave)
Iteration 49:  log pseudolikelihood = -326.17509  (not concave)
Iteration 50:  log pseudolikelihood =   -326.106  (not concave)
Iteration 51:  log pseudolikelihood = -326.03494  (not concave)
Iteration 52:  log pseudolikelihood = -325.96152  (not concave)
Iteration 53:  log pseudolikelihood = -325.88611  (not concave)
Iteration 54:  log pseudolikelihood =  -325.8083  (not concave)
Iteration 55:  log pseudolikelihood = -325.72854  (not concave)
Iteration 56:  log pseudolikelihood = -325.64639  (not concave)
Iteration 57:  log pseudolikelihood = -325.56236  (not concave)
Iteration 58:  log pseudolikelihood = -325.47601  (not concave)
Iteration 59:  log pseudolikelihood = -325.38791  (not concave)
Iteration 60:  log pseudolikelihood =  -325.2976  (not concave)
Iteration 61:  log pseudolikelihood = -325.20574  (not concave)
Iteration 62:  log pseudolikelihood = -325.11184  (not concave)
Iteration 63:  log pseudolikelihood = -325.01661  (not concave)
Iteration 64:  log pseudolikelihood = -324.91956  (not concave)
Iteration 65:  log pseudolikelihood = -324.82147  (not concave)
Iteration 66:  log pseudolikelihood = -324.72183  (not concave)
Iteration 67:  log pseudolikelihood = -324.62144  (not concave)
Iteration 68:  log pseudolikelihood =  -324.5198  (not concave)
Iteration 69:  log pseudolikelihood = -324.41774  (not concave)
Iteration 70:  log pseudolikelihood = -324.31473  (not concave)
Iteration 71:  log pseudolikelihood = -324.21163  (not concave)
Iteration 72:  log pseudolikelihood =  -324.1079  (not concave)
Iteration 73:  log pseudolikelihood =  -324.0044  (not concave)
Iteration 74:  log pseudolikelihood = -323.90056  (not concave)
Iteration 75:  log pseudolikelihood = -323.79724  (not concave)
Iteration 76:  log pseudolikelihood = -323.69388  (not concave)
Iteration 77:  log pseudolikelihood =  -323.5913  
Iteration 78:  log pseudolikelihood = -322.10864  
Iteration 79:  log pseudolikelihood = -316.36745  
Iteration 80:  log pseudolikelihood =  -315.6887  
Iteration 81:  log pseudolikelihood = -315.44603  
Iteration 82:  log pseudolikelihood = -315.40051  
Iteration 83:  log pseudolikelihood = -315.38845  
Iteration 84:  log pseudolikelihood = -315.38736  
Iteration 85:  log pseudolikelihood = -315.38735  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      19.55
Log pseudolikelihood = -315.38735               Prob > chi2       =     0.1071

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.074869     10.913     0.47   0.642    -16.31422    26.46396
     capcheither20 |   6.842492   12.13185     0.56   0.573    -16.93549    30.62048
   regchangeeither |   1.856476   1.760843     1.05   0.292    -1.594713    5.307665
      chTEAltorBmt |   1.969636   2.883609     0.68   0.495    -3.682134    7.621406
           alformA |   6.115211   12.03613     0.51   0.611    -17.47517    29.70559
             demdA |   1.044676   4.178871     0.25   0.803     -7.14576    9.235113
         asymmetry |  -.9888377   1.277559    -0.77   0.439    -3.492806    1.515131
          nomicoop |  -2.352083   1.365262    -1.72   0.085    -5.027947    .3237815
            treaty |  -.3433055   2.386923    -0.14   0.886    -5.021589    4.334978
           milinst |   6.867484     7.4145     0.93   0.354    -7.664669    21.39964
              time |  -.1693834   .3796838    -0.45   0.656      -.91355    .5747832
        timesquare |  -.0052296   .0195954    -0.27   0.790    -.0436359    .0331767
          timecube |   .0001185   .0002026     0.58   0.559    -.0002786    .0005157
             _cons |  -5.334177    14.9035    -0.36   0.720     -34.5445    23.87615
-------------------+----------------------------------------------------------------
G                  |
      Threat_form5 |  -.1496065   1.324776    -0.11   0.910     -2.74612    2.446907
num_dems_on_border |  -.3871654   .1223398    -3.16   0.002    -.6269469   -.1473839
       num_borders |   .1923487   .0604052     3.18   0.001     .0739568    .3107407
           coldwar |   .1343839    .259388     0.52   0.604    -.3740072    .6427751
       Lenergy_pop |   -.177347   .0890751    -1.99   0.046    -.3519309   -.0027631
           Oil_exp |   .3292867   .4058899     0.81   0.417     -.466243    1.124816
           maj_pow |   .4114046   .4001443     1.03   0.304    -.3728638    1.195673
         kgd_rival |    .306853   .4217211     0.73   0.467    -.5197052    1.133411
             _cons |  -4.716016   .4418755   -10.67   0.000    -5.582076   -3.849956
------------------------------------------------------------------------------------
.
.                 rubin;

.                 estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05 ) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       5.040 \\
            &    (12.017) \\
capcheither20&       6.804 \\
            &    (13.460) \\
regchangeeither&       1.845 \\
            &     (1.761) \\
chTEAltorBmt&       1.953 \\
            &     (3.136) \\
alformA     &       6.077 \\
            &    (13.419) \\
demdA       &       1.035 \\
            &     (4.644) \\
asymmetry   &      -0.986 \\
            &     (1.318) \\
nomicoop    &      -2.360 \\
            &     (1.416) \\
treaty      &      -0.345 \\
            &     (2.472) \\
milinst     &       6.833 \\
            &     (8.124) \\
time        &      -0.171 \\
            &     (0.398) \\
timesquare  &      -0.005 \\
            &     (0.021) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -5.281 \\
            &    (16.587) \\
G           &             \\
Threat_form5&      -0.013 \\
            &     (1.316) \\
num_dems_on_border&      -0.388*\\
            &     (0.127) \\
num_borders &       0.189*\\
            &     (0.061) \\
coldwar     &       0.128 \\
            &     (0.262) \\
Lenergy_pop &      -0.176 \\
            &     (0.091) \\
Oil_exp     &       0.334 \\
            &     (0.415) \\
maj_pow     &       0.412 \\
            &     (0.405) \\
kgd_rival   &       0.299 \\
            &     (0.429) \\
_cons       &      -4.706*\\
            &     (0.442) \\

.                 estimates store threatform;

.                                 /* Threat formation and time-varying threat measure */
>                 /* Obtain starting values */
>                 logit violate Threat_form2 TerrThreat2 num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv if GL==1, cluster(atopidphase) robust ;

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood = -350.69395  
Iteration 2:   log pseudolikelihood = -345.96615  
Iteration 3:   log pseudolikelihood = -345.87482  
Iteration 4:   log pseudolikelihood =  -345.8746  
Iteration 5:   log pseudolikelihood =  -345.8746  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(9)      =      73.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood =  -345.8746               Pseudo R2         =     0.0816

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
      Threat_form2 |  -1.134606   1.246005    -0.91   0.363    -3.576732    1.307519
       TerrThreat2 |   4.292216   .8974626     4.78   0.000     2.533222     6.05121
num_dems_on_border |  -.2227141   .1485266    -1.50   0.134    -.5138208    .0683926
       num_borders |    .015628     .06628     0.24   0.814    -.1142783    .1455344
           coldwar |  -.0953736   .2579539    -0.37   0.712     -.600954    .4102068
       Lenergy_pop |  -.2273465   .0742212    -3.06   0.002    -.3728174   -.0818755
           Oil_exp |   .3200569   .3372603     0.95   0.343    -.3409611    .9810749
           maj_pow |   .6986769   .3695177     1.89   0.059    -.0255645    1.422918
         kgd_rival |   .2745196   .3727906     0.74   0.461    -.4561365    1.005176
             _cons |  -5.253079   .3710989   -14.16   0.000    -5.980419   -4.525738
------------------------------------------------------------------------------------

.                 matrix B3 = e(b);

.                 /* Estimate with threat formation and time-varying measure */
>                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = Threat_form`i' TerrThreat`i' num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B3 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         matrix chi`i' = e(chi2);
 10.                         nois _dots `i' 0;
 11.                 };
initial:       log pseudolikelihood = -553.72794
rescale:       log pseudolikelihood =  -339.4867
rescale eq:    log pseudolikelihood =  -339.4867

initial:       log pseudolikelihood =  -339.4867
rescale:       log pseudolikelihood =  -339.4867
rescale eq:    log pseudolikelihood =  -339.4867
Iteration 0:   log pseudolikelihood =  -339.4867  
Iteration 1:   log pseudolikelihood = -320.75933  (not concave)
Iteration 2:   log pseudolikelihood =  -320.0293  (not concave)
Iteration 3:   log pseudolikelihood = -319.75658  (not concave)
Iteration 4:   log pseudolikelihood = -319.63861  (not concave)
Iteration 5:   log pseudolikelihood = -319.52955  (not concave)
Iteration 6:   log pseudolikelihood = -319.41508  (not concave)
Iteration 7:   log pseudolikelihood = -319.30784  (not concave)
Iteration 8:   log pseudolikelihood = -319.20593  (not concave)
Iteration 9:   log pseudolikelihood = -319.10178  (not concave)
Iteration 10:  log pseudolikelihood = -318.99783  (not concave)
Iteration 11:  log pseudolikelihood = -318.89475  (not concave)
Iteration 12:  log pseudolikelihood = -318.79189  (not concave)
Iteration 13:  log pseudolikelihood = -318.68785  (not concave)
Iteration 14:  log pseudolikelihood = -318.58338  (not concave)
Iteration 15:  log pseudolikelihood = -318.47786  (not concave)
Iteration 16:  log pseudolikelihood = -318.37165  (not concave)
Iteration 17:  log pseudolikelihood = -318.26389  (not concave)
Iteration 18:  log pseudolikelihood = -318.15522  (not concave)
Iteration 19:  log pseudolikelihood = -318.04489  (not concave)
Iteration 20:  log pseudolikelihood = -317.93356  (not concave)
Iteration 21:  log pseudolikelihood = -317.82045  (not concave)
Iteration 22:  log pseudolikelihood = -317.70632  (not concave)
Iteration 23:  log pseudolikelihood = -317.59042  (not concave)
Iteration 24:  log pseudolikelihood = -317.47359  (not concave)
Iteration 25:  log pseudolikelihood = -317.35507  (not concave)
Iteration 26:  log pseudolikelihood = -317.23579  (not concave)
Iteration 27:  log pseudolikelihood = -317.11498  (not concave)
Iteration 28:  log pseudolikelihood = -316.99365  (not concave)
Iteration 29:  log pseudolikelihood = -316.87102  (not concave)
Iteration 30:  log pseudolikelihood = -316.74816  (not concave)
Iteration 31:  log pseudolikelihood = -316.62429  (not concave)
Iteration 32:  log pseudolikelihood = -316.50052  (not concave)
Iteration 33:  log pseudolikelihood = -316.37605  (not concave)
Iteration 34:  log pseudolikelihood = -316.25203  (not concave)
Iteration 35:  log pseudolikelihood = -316.12765  (not concave)
Iteration 36:  log pseudolikelihood = -316.00406  (not concave)
Iteration 37:  log pseudolikelihood = -315.88046  (not concave)
Iteration 38:  log pseudolikelihood = -315.75796  
Iteration 39:  log pseudolikelihood =  -314.6361  
Iteration 40:  log pseudolikelihood = -307.90008  (not concave)
Iteration 41:  log pseudolikelihood =  -307.5316  (not concave)
Iteration 42:  log pseudolikelihood = -307.33877  (not concave)
Iteration 43:  log pseudolikelihood =  -307.3027  (not concave)
Iteration 44:  log pseudolikelihood = -307.28407  
Iteration 45:  log pseudolikelihood = -307.24171  
Iteration 46:  log pseudolikelihood = -306.96736  
Iteration 47:  log pseudolikelihood = -306.95353  
Iteration 48:  log pseudolikelihood = -306.95334  
Iteration 49:  log pseudolikelihood = -306.95334  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      35.52
Log pseudolikelihood = -306.95334               Prob > chi2       =     0.0007

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.347794   6.348463     0.84   0.400    -7.094964    17.79055
     capcheither20 |   3.125647    4.33201     0.72   0.471    -5.364937    11.61623
   regchangeeither |   1.842698   1.992827     0.92   0.355    -2.063172    5.748568
      chTEAltorBmt |   .9047375   1.916369     0.47   0.637    -2.851276    4.660751
           alformA |   2.573771   3.248528     0.79   0.428    -3.793226    8.940769
             demdA |   1.289817   2.738272     0.47   0.638    -4.077097    6.656731
         asymmetry |  -1.566315   1.119705    -1.40   0.162    -3.760896    .6282656
          nomicoop |  -2.555017   1.334336    -1.91   0.056    -5.170268    .0602334
            treaty |   1.348584   3.380171     0.40   0.690    -5.276431    7.973598
           milinst |   5.137814   2.805525     1.83   0.067    -.3609135    10.63654
              time |  -.1366414   .3776662    -0.36   0.717    -.8768536    .6035707
        timesquare |  -.0025319   .0108575    -0.23   0.816    -.0238122    .0187483
          timecube |    .000084   .0001231     0.68   0.495    -.0001572    .0003253
             _cons |  -3.244087   1.408674    -2.30   0.021    -6.005037    -.483137
-------------------+----------------------------------------------------------------
G                  |
      Threat_form1 |  -1.571186   1.450465    -1.08   0.279    -4.414045    1.271673
       TerrThreat1 |   4.484786   1.326624     3.38   0.001     1.884651    7.084921
num_dems_on_border |  -.2960151   .1196207    -2.47   0.013    -.5304672   -.0615629
       num_borders |   .1491128   .0797853     1.87   0.062    -.0072634    .3054891
           coldwar |    .471165   .3596725     1.31   0.190    -.2337802     1.17611
       Lenergy_pop |  -.1639115   .0896869    -1.83   0.068    -.3396947    .0118717
           Oil_exp |    .607103   .6680879     0.91   0.363    -.7023253    1.916531
           maj_pow |   .4097448   .6553691     0.63   0.532     -.874755    1.694245
         kgd_rival |   .0703461   .4076523     0.17   0.863    -.7286378      .86933
             _cons |  -5.025318   .7045797    -7.13   0.000    -6.406269   -3.644367
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -552.93858
rescale:       log pseudolikelihood = -338.97629
rescale eq:    log pseudolikelihood = -338.97629

initial:       log pseudolikelihood = -338.97629
rescale:       log pseudolikelihood = -338.97629
rescale eq:    log pseudolikelihood = -338.97629
Iteration 0:   log pseudolikelihood = -338.97629  
Iteration 1:   log pseudolikelihood = -319.90258  (not concave)
Iteration 2:   log pseudolikelihood = -319.14754  (not concave)
Iteration 3:   log pseudolikelihood = -318.93407  (not concave)
Iteration 4:   log pseudolikelihood = -318.79385  (not concave)
Iteration 5:   log pseudolikelihood = -318.67045  (not concave)
Iteration 6:   log pseudolikelihood = -318.54869  (not concave)
Iteration 7:   log pseudolikelihood = -318.43384  (not concave)
Iteration 8:   log pseudolikelihood = -318.32246  (not concave)
Iteration 9:   log pseudolikelihood = -318.21119  (not concave)
Iteration 10:  log pseudolikelihood = -318.10131  (not concave)
Iteration 11:  log pseudolikelihood = -317.99238  (not concave)
Iteration 12:  log pseudolikelihood = -317.88417  (not concave)
Iteration 13:  log pseudolikelihood = -317.77562  (not concave)
Iteration 14:  log pseudolikelihood = -317.66728  (not concave)
Iteration 15:  log pseudolikelihood = -317.55835  (not concave)
Iteration 16:  log pseudolikelihood = -317.44924  (not concave)
Iteration 17:  log pseudolikelihood = -317.33916  (not concave)
Iteration 18:  log pseudolikelihood =  -317.2287  (not concave)
Iteration 19:  log pseudolikelihood = -317.11708  (not concave)
Iteration 20:  log pseudolikelihood = -317.00499  (not concave)
Iteration 21:  log pseudolikelihood = -316.89164  (not concave)
Iteration 22:  log pseudolikelihood = -316.77781  (not concave)
Iteration 23:  log pseudolikelihood = -316.66273  (not concave)
Iteration 24:  log pseudolikelihood = -316.54725  (not concave)
Iteration 25:  log pseudolikelihood =  -316.4306  (not concave)
Iteration 26:  log pseudolikelihood =  -316.3137  (not concave)
Iteration 27:  log pseudolikelihood = -316.19579  (not concave)
Iteration 28:  log pseudolikelihood = -316.07783  (not concave)
Iteration 29:  log pseudolikelihood = -315.95907  (not concave)
Iteration 30:  log pseudolikelihood = -315.84051  (not concave)
Iteration 31:  log pseudolikelihood = -315.72141  (not concave)
Iteration 32:  log pseudolikelihood = -315.60277  (not concave)
Iteration 33:  log pseudolikelihood = -315.48385  (not concave)
Iteration 34:  log pseudolikelihood = -315.36568  (not concave)
Iteration 35:  log pseudolikelihood =  -315.2475  (not concave)
Iteration 36:  log pseudolikelihood = -315.13035  
Iteration 37:  log pseudolikelihood = -312.61837  (backed up)
Iteration 38:  log pseudolikelihood =  -307.2502  (not concave)
Iteration 39:  log pseudolikelihood = -307.07455  
Iteration 40:  log pseudolikelihood = -306.57094  
Iteration 41:  log pseudolikelihood = -306.48341  
Iteration 42:  log pseudolikelihood = -306.48193  
Iteration 43:  log pseudolikelihood = -306.48193  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      36.13
Log pseudolikelihood = -306.48193               Prob > chi2       =     0.0006

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.217248   6.156219     0.85   0.397    -6.848718    17.28322
     capcheither20 |   3.148258   4.684519     0.67   0.502    -6.033231    12.32975
   regchangeeither |   1.802742   2.076961     0.87   0.385    -2.268026     5.87351
      chTEAltorBmt |   .9214151    2.08678     0.44   0.659    -3.168598    5.011428
           alformA |   2.636511   3.568112     0.74   0.460    -4.356859    9.629881
             demdA |   1.289434   2.749077     0.47   0.639    -4.098657    6.677526
         asymmetry |  -1.526213   1.189968    -1.28   0.200    -3.858507    .8060808
          nomicoop |  -2.536824   1.295808    -1.96   0.050     -5.07656    .0029125
            treaty |    1.28035   3.595795     0.36   0.722     -5.76728    8.327979
           milinst |   5.100988   2.904246     1.76   0.079    -.5912297    10.79321
              time |  -.1430865   .4017411    -0.36   0.722    -.9304846    .6443117
        timesquare |  -.0020694   .0111999    -0.18   0.853    -.0240209    .0198821
          timecube |   .0000778   .0001242     0.63   0.531    -.0001657    .0003213
             _cons |  -3.234872   1.415079    -2.29   0.022    -6.008377   -.4613676
-------------------+----------------------------------------------------------------
G                  |
      Threat_form2 |  -.9625808   1.329124    -0.72   0.469    -3.567616    1.642454
       TerrThreat2 |   4.350551   1.232566     3.53   0.000     1.934766    6.766337
num_dems_on_border |  -.2869777   .1178411    -2.44   0.015    -.5179421   -.0560133
       num_borders |   .1361717   .0809126     1.68   0.092    -.0224141    .2947576
           coldwar |   .5067645   .3860529     1.31   0.189    -.2498852    1.263414
       Lenergy_pop |   -.159547   .0908148    -1.76   0.079    -.3375408    .0184467
           Oil_exp |   .6101554    .694402     0.88   0.380    -.7508476    1.971158
           maj_pow |   .3586518   .6581012     0.54   0.586    -.9312029    1.648506
         kgd_rival |   .0568995   .4064571     0.14   0.889    -.7397417    .8535407
             _cons |  -5.019832   .7324726    -6.85   0.000    -6.455452   -3.584213
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -552.62178
rescale:       log pseudolikelihood = -339.29578
rescale eq:    log pseudolikelihood = -339.29578

initial:       log pseudolikelihood = -339.29578
rescale:       log pseudolikelihood = -339.29578
rescale eq:    log pseudolikelihood = -339.29578
Iteration 0:   log pseudolikelihood = -339.29578  
Iteration 1:   log pseudolikelihood = -321.44564  (not concave)
Iteration 2:   log pseudolikelihood = -320.78068  (not concave)
Iteration 3:   log pseudolikelihood = -320.49786  (not concave)
Iteration 4:   log pseudolikelihood = -320.34846  (not concave)
Iteration 5:   log pseudolikelihood =  -320.2466  (not concave)
Iteration 6:   log pseudolikelihood = -320.15012  (not concave)
Iteration 7:   log pseudolikelihood =  -319.9927  (not concave)
Iteration 8:   log pseudolikelihood = -319.84702  (not concave)
Iteration 9:   log pseudolikelihood = -318.30261  (not concave)
Iteration 10:  log pseudolikelihood = -317.95343  (not concave)
Iteration 11:  log pseudolikelihood = -317.76906  (not concave)
Iteration 12:  log pseudolikelihood = -317.64824  (not concave)
Iteration 13:  log pseudolikelihood = -317.52934  (not concave)
Iteration 14:  log pseudolikelihood = -317.29802  (not concave)
Iteration 15:  log pseudolikelihood = -317.12856  (not concave)
Iteration 16:  log pseudolikelihood = -317.00067  (not concave)
Iteration 17:  log pseudolikelihood = -316.87227  (not concave)
Iteration 18:  log pseudolikelihood = -316.21601  
Iteration 19:  log pseudolikelihood = -311.35617  
Iteration 20:  log pseudolikelihood = -308.03013  
Iteration 21:  log pseudolikelihood = -307.64275  
Iteration 22:  log pseudolikelihood = -307.52032  
Iteration 23:  log pseudolikelihood = -307.51791  
Iteration 24:  log pseudolikelihood =  -307.5179  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      34.96
Log pseudolikelihood =  -307.5179               Prob > chi2       =     0.0009

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.320496   5.575166     0.95   0.340    -5.606629    16.24762
     capcheither20 |    3.20412   4.435587     0.72   0.470    -5.489471    11.89771
   regchangeeither |   1.873788   2.133783     0.88   0.380    -2.308349    6.055926
      chTEAltorBmt |   .9012489   1.999678     0.45   0.652    -3.018048    4.820546
           alformA |   2.610306   3.356818     0.78   0.437    -3.968936    9.189549
             demdA |   1.232931   2.580667     0.48   0.633    -3.825084    6.290945
         asymmetry |  -1.583556   1.110986    -1.43   0.154    -3.761048    .5939365
          nomicoop |  -2.613236   1.278846    -2.04   0.041    -5.119727   -.1067448
            treaty |   1.341801   3.328666     0.40   0.687    -5.182265    7.865867
           milinst |   5.144403   2.876196     1.79   0.074    -.4928374    10.78164
              time |   -.137649   .3862983    -0.36   0.722    -.8947798    .6194818
        timesquare |  -.0026561   .0107988    -0.25   0.806    -.0238214    .0185092
          timecube |   .0000861   .0001219     0.71   0.480    -.0001528    .0003249
             _cons |  -3.231204   1.343303    -2.41   0.016     -5.86403   -.5983787
-------------------+----------------------------------------------------------------
G                  |
      Threat_form3 |  -1.276296   1.380744    -0.92   0.355    -3.982504    1.429913
       TerrThreat3 |   4.200351     1.2636     3.32   0.001      1.72374    6.676962
num_dems_on_border |  -.2968853   .1179922    -2.52   0.012    -.5281457   -.0656248
       num_borders |   .1410972   .0789085     1.79   0.074    -.0135606     .295755
           coldwar |   .4498533   .3711456     1.21   0.225    -.2775787    1.177285
       Lenergy_pop |  -.1612053   .0879002    -1.83   0.067    -.3334865    .0110758
           Oil_exp |   .6336946   .6833533     0.93   0.354    -.7056532    1.973042
           maj_pow |   .4120359   .6240441     0.66   0.509    -.8110681     1.63514
         kgd_rival |   .0617717    .412202     0.15   0.881    -.7461295    .8696728
             _cons |  -4.978389   .6915312    -7.20   0.000    -6.333765   -3.623013
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -550.03801
rescale:       log pseudolikelihood = -338.24672
rescale eq:    log pseudolikelihood = -338.24672

initial:       log pseudolikelihood = -338.24672
rescale:       log pseudolikelihood = -338.24672
rescale eq:    log pseudolikelihood = -338.24672
Iteration 0:   log pseudolikelihood = -338.24672  
Iteration 1:   log pseudolikelihood = -319.38771  (not concave)
Iteration 2:   log pseudolikelihood = -318.73272  (not concave)
Iteration 3:   log pseudolikelihood = -318.47163  (not concave)
Iteration 4:   log pseudolikelihood = -318.33679  (not concave)
Iteration 5:   log pseudolikelihood = -318.21553  (not concave)
Iteration 6:   log pseudolikelihood = -318.10251  (not concave)
Iteration 7:   log pseudolikelihood = -317.98778  (not concave)
Iteration 8:   log pseudolikelihood = -317.87581  (not concave)
Iteration 9:   log pseudolikelihood = -317.76634  (not concave)
Iteration 10:  log pseudolikelihood = -317.65773  (not concave)
Iteration 11:  log pseudolikelihood = -317.54894  (not concave)
Iteration 12:  log pseudolikelihood = -317.44082  (not concave)
Iteration 13:  log pseudolikelihood = -317.33232  (not concave)
Iteration 14:  log pseudolikelihood = -317.22372  (not concave)
Iteration 15:  log pseudolikelihood =  -317.1142  (not concave)
Iteration 16:  log pseudolikelihood = -317.00437  (not concave)
Iteration 17:  log pseudolikelihood = -316.89336  (not concave)
Iteration 18:  log pseudolikelihood = -316.78179  (not concave)
Iteration 19:  log pseudolikelihood = -316.66886  (not concave)
Iteration 20:  log pseudolikelihood = -316.55533  (not concave)
Iteration 21:  log pseudolikelihood = -316.44037  (not concave)
Iteration 22:  log pseudolikelihood = -316.32482  (not concave)
Iteration 23:  log pseudolikelihood = -316.20788  (not concave)
Iteration 24:  log pseudolikelihood = -316.09045  (not concave)
Iteration 25:  log pseudolikelihood = -315.97174  (not concave)
Iteration 26:  log pseudolikelihood = -315.85272  (not concave)
Iteration 27:  log pseudolikelihood = -315.73259  (not concave)
Iteration 28:  log pseudolikelihood =  -315.6124  (not concave)
Iteration 29:  log pseudolikelihood = -315.49133  (not concave)
Iteration 30:  log pseudolikelihood = -315.37046  (not concave)
Iteration 31:  log pseudolikelihood = -315.24899  (not concave)
Iteration 32:  log pseudolikelihood = -315.12802  (not concave)
Iteration 33:  log pseudolikelihood = -315.00673  (not concave)
Iteration 34:  log pseudolikelihood = -314.88624  (not concave)
Iteration 35:  log pseudolikelihood = -314.76572  (not concave)
Iteration 36:  log pseudolikelihood = -314.64629  
Iteration 37:  log pseudolikelihood = -311.76964  (backed up)
Iteration 38:  log pseudolikelihood = -306.63168  (not concave)
Iteration 39:  log pseudolikelihood = -306.48123  
Iteration 40:  log pseudolikelihood = -305.93941  
Iteration 41:  log pseudolikelihood = -305.88549  
Iteration 42:  log pseudolikelihood = -305.88382  
Iteration 43:  log pseudolikelihood = -305.88381  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      37.29
Log pseudolikelihood = -305.88381               Prob > chi2       =     0.0004

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.626531   7.039589     0.80   0.424     -8.17081    19.42387
     capcheither20 |   2.973559   2.757008     1.08   0.281    -2.430077    8.377194
   regchangeeither |   1.771502   1.426781     1.24   0.214    -1.024937    4.567942
      chTEAltorBmt |   .8224309   1.392765     0.59   0.555    -1.907339    3.552201
           alformA |   2.459937   2.001111     1.23   0.219    -1.462169    6.382043
             demdA |   1.408587   2.342359     0.60   0.548    -3.182352    5.999526
         asymmetry |  -1.625661   .9515832    -1.71   0.088     -3.49073    .2394074
          nomicoop |   -2.56267   1.285311    -1.99   0.046    -5.081833   -.0435067
            treaty |   1.530933   2.725079     0.56   0.574    -3.810123    6.871989
           milinst |   4.942432   2.773211     1.78   0.075    -.4929625    10.37783
              time |  -.1248981   .2923412    -0.43   0.669    -.6978763    .4480801
        timesquare |  -.0028388   .0102149    -0.28   0.781    -.0228597     .017182
          timecube |   .0000871   .0001233     0.71   0.480    -.0001545    .0003287
             _cons |  -3.275919   1.613556    -2.03   0.042     -6.43843   -.1134077
-------------------+----------------------------------------------------------------
G                  |
      Threat_form4 |  -1.003696   1.271432    -0.79   0.430    -3.495657    1.488265
       TerrThreat4 |   4.334372   1.046791     4.14   0.000     2.282699    6.386045
num_dems_on_border |  -.2760075   .1211338    -2.28   0.023    -.5134254   -.0385895
       num_borders |   .1361308   .0730981     1.86   0.063    -.0071389    .2794004
           coldwar |   .5125855    .324052     1.58   0.114    -.1225447    1.147716
       Lenergy_pop |  -.1624806   .0864168    -1.88   0.060    -.3318545    .0068933
           Oil_exp |     .65243   .5511222     1.18   0.236    -.4277497     1.73261
           maj_pow |   .3839264   .5585912     0.69   0.492    -.7108922    1.478745
         kgd_rival |   .0473192   .3990372     0.12   0.906    -.7347795    .8294178
             _cons |  -5.057798   .6134531    -8.24   0.000    -6.260144   -3.855452
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -552.68888
rescale:       log pseudolikelihood =  -339.1709
rescale eq:    log pseudolikelihood =  -339.1709

initial:       log pseudolikelihood =  -339.1709
rescale:       log pseudolikelihood =  -339.1709
rescale eq:    log pseudolikelihood =  -339.1709
Iteration 0:   log pseudolikelihood =  -339.1709  
Iteration 1:   log pseudolikelihood = -320.65532  (not concave)
Iteration 2:   log pseudolikelihood = -319.91421  (not concave)
Iteration 3:   log pseudolikelihood = -319.70439  (not concave)
Iteration 4:   log pseudolikelihood = -319.56553  (not concave)
Iteration 5:   log pseudolikelihood =  -319.4432  (not concave)
Iteration 6:   log pseudolikelihood = -319.32237  (not concave)
Iteration 7:   log pseudolikelihood = -319.20733  (not concave)
Iteration 8:   log pseudolikelihood = -319.09491  (not concave)
Iteration 9:   log pseudolikelihood = -318.98207  (not concave)
Iteration 10:  log pseudolikelihood = -318.87007  (not concave)
Iteration 11:  log pseudolikelihood = -318.75837  (not concave)
Iteration 12:  log pseudolikelihood = -318.64691  (not concave)
Iteration 13:  log pseudolikelihood = -318.53454  (not concave)
Iteration 14:  log pseudolikelihood =  -318.4219  (not concave)
Iteration 15:  log pseudolikelihood = -318.30811  (not concave)
Iteration 16:  log pseudolikelihood =  -318.1937  (not concave)
Iteration 17:  log pseudolikelihood = -318.07775  (not concave)
Iteration 18:  log pseudolikelihood = -317.96098  (not concave)
Iteration 19:  log pseudolikelihood = -317.84252  (not concave)
Iteration 20:  log pseudolikelihood = -317.72316  (not concave)
Iteration 21:  log pseudolikelihood = -317.60202  (not concave)
Iteration 22:  log pseudolikelihood = -317.47999  (not concave)
Iteration 23:  log pseudolikelihood = -317.35623  (not concave)
Iteration 24:  log pseudolikelihood =  -317.2317  (not concave)
Iteration 25:  log pseudolikelihood = -317.10556  (not concave)
Iteration 26:  log pseudolikelihood = -316.97886  (not concave)
Iteration 27:  log pseudolikelihood = -316.85076  (not concave)
Iteration 28:  log pseudolikelihood = -316.72239  (not concave)
Iteration 29:  log pseudolikelihood = -316.59287  (not concave)
Iteration 30:  log pseudolikelihood = -316.46343  (not concave)
Iteration 31:  log pseudolikelihood = -316.33316  (not concave)
Iteration 32:  log pseudolikelihood = -316.20332  (not concave)
Iteration 33:  log pseudolikelihood = -316.07302  (not concave)
Iteration 34:  log pseudolikelihood = -315.94349  (not concave)
Iteration 35:  log pseudolikelihood = -315.81386  (not concave)
Iteration 36:  log pseudolikelihood = -315.68536  (not concave)
Iteration 37:  log pseudolikelihood =  -315.5571  (not concave)
Iteration 38:  log pseudolikelihood = -315.43029  
Iteration 39:  log pseudolikelihood = -313.96988  
Iteration 40:  log pseudolikelihood = -307.55597  (not concave)
Iteration 41:  log pseudolikelihood = -307.22243  
Iteration 42:  log pseudolikelihood = -306.79009  
Iteration 43:  log pseudolikelihood = -306.69089  
Iteration 44:  log pseudolikelihood = -306.68887  
Iteration 45:  log pseudolikelihood = -306.68886  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      36.67
Log pseudolikelihood = -306.68886               Prob > chi2       =     0.0005

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.349768   5.861397     0.91   0.361    -6.138359     16.8379
     capcheither20 |   3.036779   3.520535     0.86   0.388    -3.863343    9.936901
   regchangeeither |   1.779133    1.73305     1.03   0.305    -1.617582    5.175849
      chTEAltorBmt |   .8599349   1.639558     0.52   0.600    -2.353539    4.073409
           alformA |   2.529571   2.596391     0.97   0.330    -2.559261    7.618403
             demdA |   1.344657    2.41535     0.56   0.578    -3.389342    6.078655
         asymmetry |  -1.584702   1.056351    -1.50   0.134    -3.655113     .485708
          nomicoop |  -2.557426   1.288808    -1.98   0.047    -5.083445   -.0314082
            treaty |   1.418514   2.833484     0.50   0.617    -4.135012    6.972041
           milinst |   5.103018    2.28103     2.24   0.025      .632282    9.573754
              time |   -.134386   .3446466    -0.39   0.697    -.8098808    .5411089
        timesquare |  -.0023927   .0107852    -0.22   0.824    -.0235313    .0187459
          timecube |   .0000814   .0001247     0.65   0.514    -.0001631    .0003259
             _cons |  -3.251294   1.385772    -2.35   0.019    -5.967356   -.5352313
-------------------+----------------------------------------------------------------
G                  |
      Threat_form5 |  -1.400633   1.395015    -1.00   0.315    -4.134812    1.333546
       TerrThreat5 |   4.404907    1.21031     3.64   0.000     2.032744    6.777071
num_dems_on_border |  -.2881102   .1203744    -2.39   0.017    -.5240397   -.0521807
       num_borders |    .145618   .0747924     1.95   0.052    -.0009724    .2922085
           coldwar |   .4797728   .3296518     1.46   0.146    -.1663328    1.125878
       Lenergy_pop |  -.1622799   .0888207    -1.83   0.068    -.3363653    .0118056
           Oil_exp |   .6087875   .6111494     1.00   0.319    -.5890434    1.806618
           maj_pow |   .3662166   .6017981     0.61   0.543     -.813286    1.545719
         kgd_rival |   .0592971   .4062865     0.15   0.884    -.7370097    .8556039
             _cons |   -5.00028   .6386446    -7.83   0.000       -6.252   -3.748559
------------------------------------------------------------------------------------
.
.                 rubin;

.                 estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05 ) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       5.372 \\
            &     (6.218) \\
capcheither20&       3.098 \\
            &     (4.011) \\
regchangeeither&       1.814 \\
            &     (1.891) \\
chTEAltorBmt&       0.882 \\
            &     (1.826) \\
alformA     &       2.562 \\
            &     (3.011) \\
demdA       &       1.313 \\
            &     (2.571) \\
asymmetry   &      -1.577 \\
            &     (1.089) \\
nomicoop    &      -2.565*\\
            &     (1.297) \\
treaty      &       1.384 \\
            &     (3.192) \\
milinst     &       5.086 \\
            &     (2.739) \\
time        &      -0.135 \\
            &     (0.363) \\
timesquare  &      -0.002 \\
            &     (0.011) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -3.247*\\
            &     (1.436) \\
G           &             \\
Threat_form5&      -1.243 \\
            &     (1.396) \\
TerrThreat5 &       4.355*\\
            &     (1.225) \\
num_dems_on_border&      -0.289*\\
            &     (0.120) \\
num_borders &       0.142 \\
            &     (0.078) \\
coldwar     &       0.484 \\
            &     (0.356) \\
Lenergy_pop &      -0.162 \\
            &     (0.089) \\
Oil_exp     &       0.622 \\
            &     (0.644) \\
maj_pow     &       0.386 \\
            &     (0.621) \\
kgd_rival   &       0.059 \\
            &     (0.406) \\
_cons       &      -5.016*\\
            &     (0.678) \\

.                 estimates store threatformtime;

.                                 /* Neighbor Average (Note: average neighbor is rescaled by multiplying it by 100) */
>                 /* Load data */
>                 use Threat_MI, clear;

.                 merge 1:m ccode1 year using NiemanGibler_demdiff_ally, gen(_merge_threatavg);

    Result                           # of obs.
    -----------------------------------------
    not matched                         7,524
        from master                     7,524  (_merge_threatavg==1)
        from using                          0  (_merge_threatavg==2)

    matched                             6,842  (_merge_threatavg==3)
    -----------------------------------------

.                 /* Replicate Leeds et al to identify shared observations*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(7,754 missing values generated)

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate TerrThreatAvg1 num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -376.04611  
Iteration 2:   log pseudolikelihood = -367.80593  
Iteration 3:   log pseudolikelihood = -367.22697  
Iteration 4:   log pseudolikelihood = -367.22619  
Iteration 5:   log pseudolikelihood = -367.22619  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      88.09
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -367.22619               Pseudo R2         =     0.0753

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    TerrThreatAvg1 |   .6025249   .1332406     4.52   0.000     .3413782    .8636717
num_dems_on_border |  -.2205266   .1446691    -1.52   0.127    -.5040728    .0630195
       num_borders |   .0470544   .0557177     0.84   0.398    -.0621504    .1562591
           coldwar |   .0946664   .2634905     0.36   0.719    -.4217654    .6110982
       Lenergy_pop |   -.210402    .068674    -3.06   0.002    -.3450005   -.0758034
           Oil_exp |   .4521822    .317327     1.42   0.154    -.1697673    1.074132
           maj_pow |   .4433404    .381552     1.16   0.245    -.3044878    1.191169
         kgd_rival |   .5118395   .3514789     1.46   0.145    -.1770466    1.200726
             _cons |   -5.39187   .3633858   -14.84   0.000    -6.104093   -4.679647
------------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;
(7,748 missing values generated)

.                 matrix B1 = e(b);

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /*get starting values */                
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                                 /* Estimate with neighbor's average */
>                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = TerrThreatAvg`i' num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         matrix chi`i' = e(chi2);
 10.                         nois _dots `i' 0;
 11.                 };
initial:       log pseudolikelihood = -552.08149
rescale:       log pseudolikelihood = -339.62895
rescale eq:    log pseudolikelihood = -339.62895

initial:       log pseudolikelihood = -339.62895
rescale:       log pseudolikelihood = -339.62895
rescale eq:    log pseudolikelihood = -339.62895
Iteration 0:   log pseudolikelihood = -339.62895  
Iteration 1:   log pseudolikelihood = -321.86433  (not concave)
Iteration 2:   log pseudolikelihood = -321.31434  (not concave)
Iteration 3:   log pseudolikelihood = -321.02377  (not concave)
Iteration 4:   log pseudolikelihood = -320.83394  (not concave)
Iteration 5:   log pseudolikelihood = -320.64899  (not concave)
Iteration 6:   log pseudolikelihood = -320.47841  (not concave)
Iteration 7:   log pseudolikelihood = -320.36242  (not concave)
Iteration 8:   log pseudolikelihood = -320.29384  (not concave)
Iteration 9:   log pseudolikelihood = -320.21213  (not concave)
Iteration 10:  log pseudolikelihood = -320.13853  (not concave)
Iteration 11:  log pseudolikelihood = -320.05264  (not concave)
Iteration 12:  log pseudolikelihood =  -319.9189  (not concave)
Iteration 13:  log pseudolikelihood = -319.81339  (not concave)
Iteration 14:  log pseudolikelihood = -319.70948  (not concave)
Iteration 15:  log pseudolikelihood = -317.40506  
Iteration 16:  log pseudolikelihood = -312.54538  
Iteration 17:  log pseudolikelihood = -310.33105  (not concave)
Iteration 18:  log pseudolikelihood =  -310.3024  (not concave)
Iteration 19:  log pseudolikelihood = -310.29549  (not concave)
Iteration 20:  log pseudolikelihood = -310.29237  (not concave)
Iteration 21:  log pseudolikelihood = -310.29079  (not concave)
Iteration 22:  log pseudolikelihood = -310.28806  (not concave)
Iteration 23:  log pseudolikelihood = -310.28606  (not concave)
Iteration 24:  log pseudolikelihood = -310.28475  (not concave)
Iteration 25:  log pseudolikelihood = -310.28328  (not concave)
Iteration 26:  log pseudolikelihood = -310.28211  (not concave)
Iteration 27:  log pseudolikelihood = -310.28099  (not concave)
Iteration 28:  log pseudolikelihood = -310.27995  (not concave)
Iteration 29:  log pseudolikelihood =  -310.2789  (not concave)
Iteration 30:  log pseudolikelihood = -310.27787  (not concave)
Iteration 31:  log pseudolikelihood = -310.27687  (not concave)
Iteration 32:  log pseudolikelihood = -310.27588  (not concave)
Iteration 33:  log pseudolikelihood = -310.27491  (not concave)
Iteration 34:  log pseudolikelihood = -310.27395  (not concave)
Iteration 35:  log pseudolikelihood = -310.27301  (not concave)
Iteration 36:  log pseudolikelihood = -310.27208  (not concave)
Iteration 37:  log pseudolikelihood = -310.27116  (not concave)
Iteration 38:  log pseudolikelihood = -310.27026  (not concave)
Iteration 39:  log pseudolikelihood = -310.26936  (not concave)
Iteration 40:  log pseudolikelihood = -310.26847  (not concave)
Iteration 41:  log pseudolikelihood =  -310.2676  (not concave)
Iteration 42:  log pseudolikelihood = -310.26673  (not concave)
Iteration 43:  log pseudolikelihood = -310.26587  (not concave)
Iteration 44:  log pseudolikelihood = -310.26502  (not concave)
Iteration 45:  log pseudolikelihood = -310.26418  (not concave)
Iteration 46:  log pseudolikelihood = -310.26335  (not concave)
Iteration 47:  log pseudolikelihood = -310.26252  (not concave)
Iteration 48:  log pseudolikelihood =  -310.2617  (not concave)
Iteration 49:  log pseudolikelihood = -310.26089  (not concave)
Iteration 50:  log pseudolikelihood = -310.26008  (not concave)
Iteration 51:  log pseudolikelihood = -310.25928  (not concave)
Iteration 52:  log pseudolikelihood = -310.25848  (not concave)
Iteration 53:  log pseudolikelihood =  -310.2577  (not concave)
Iteration 54:  log pseudolikelihood = -310.25691  (not concave)
Iteration 55:  log pseudolikelihood = -310.25613  (not concave)
Iteration 56:  log pseudolikelihood = -310.25536  (not concave)
Iteration 57:  log pseudolikelihood =  -310.2546  (not concave)
Iteration 58:  log pseudolikelihood = -310.25383  (not concave)
Iteration 59:  log pseudolikelihood = -310.25308  (not concave)
Iteration 60:  log pseudolikelihood = -310.25232  (not concave)
Iteration 61:  log pseudolikelihood = -310.25158  (not concave)
Iteration 62:  log pseudolikelihood = -310.25083  (not concave)
Iteration 63:  log pseudolikelihood =  -310.2501  (not concave)
Iteration 64:  log pseudolikelihood = -310.24936  (not concave)
Iteration 65:  log pseudolikelihood = -310.24863  (not concave)
Iteration 66:  log pseudolikelihood =  -310.2479  (not concave)
Iteration 67:  log pseudolikelihood = -310.24718  (not concave)
Iteration 68:  log pseudolikelihood = -310.24646  (not concave)
Iteration 69:  log pseudolikelihood = -310.24575  (not concave)
Iteration 70:  log pseudolikelihood = -310.24504  (not concave)
Iteration 71:  log pseudolikelihood = -310.24433  (not concave)
Iteration 72:  log pseudolikelihood = -310.24363  (not concave)
Iteration 73:  log pseudolikelihood = -310.24293  (not concave)
Iteration 74:  log pseudolikelihood = -310.24223  (not concave)
Iteration 75:  log pseudolikelihood = -310.24154  (not concave)
Iteration 76:  log pseudolikelihood = -310.24085  (not concave)
Iteration 77:  log pseudolikelihood = -310.24016  (not concave)
Iteration 78:  log pseudolikelihood = -310.23948  (not concave)
Iteration 79:  log pseudolikelihood =  -310.2388  (not concave)
Iteration 80:  log pseudolikelihood = -310.23812  (not concave)
Iteration 81:  log pseudolikelihood = -310.23745  (not concave)
Iteration 82:  log pseudolikelihood = -310.23678  (not concave)
Iteration 83:  log pseudolikelihood = -310.23611  (not concave)
Iteration 84:  log pseudolikelihood = -310.23544  (not concave)
Iteration 85:  log pseudolikelihood = -310.23478  (not concave)
Iteration 86:  log pseudolikelihood = -310.23412  (not concave)
Iteration 87:  log pseudolikelihood = -310.23347  (not concave)
Iteration 88:  log pseudolikelihood = -310.23281  (not concave)
Iteration 89:  log pseudolikelihood = -310.23216  (not concave)
Iteration 90:  log pseudolikelihood = -310.23151  (not concave)
Iteration 91:  log pseudolikelihood = -310.23087  (not concave)
Iteration 92:  log pseudolikelihood = -310.23023  (not concave)
Iteration 93:  log pseudolikelihood = -310.22958  (not concave)
Iteration 94:  log pseudolikelihood = -310.22895  (not concave)
Iteration 95:  log pseudolikelihood = -310.22831  (not concave)
Iteration 96:  log pseudolikelihood = -310.22768  (not concave)
Iteration 97:  log pseudolikelihood = -310.22705  (not concave)
Iteration 98:  log pseudolikelihood = -310.22642  (not concave)
Iteration 99:  log pseudolikelihood = -310.22579  (not concave)
Iteration 100: log pseudolikelihood = -310.22517  (not concave)
Iteration 101: log pseudolikelihood = -310.22455  (not concave)
Iteration 102: log pseudolikelihood = -310.22393  (not concave)
Iteration 103: log pseudolikelihood = -310.22332  (not concave)
Iteration 104: log pseudolikelihood =  -310.2227  (not concave)
Iteration 105: log pseudolikelihood = -310.22209  (not concave)
Iteration 106: log pseudolikelihood = -310.22148  (not concave)
Iteration 107: log pseudolikelihood = -310.22087  (not concave)
Iteration 108: log pseudolikelihood = -310.22027  (not concave)
Iteration 109: log pseudolikelihood = -310.21966  (not concave)
Iteration 110: log pseudolikelihood = -310.21906  (not concave)
Iteration 111: log pseudolikelihood = -310.21846  (not concave)
Iteration 112: log pseudolikelihood = -310.21787  (not concave)
Iteration 113: log pseudolikelihood = -310.21727  (not concave)
Iteration 114: log pseudolikelihood = -310.21668  (not concave)
Iteration 115: log pseudolikelihood = -310.21609  (not concave)
Iteration 116: log pseudolikelihood =  -310.2155  (not concave)
Iteration 117: log pseudolikelihood = -310.21491  (not concave)
Iteration 118: log pseudolikelihood = -310.21433  (not concave)
Iteration 119: log pseudolikelihood = -310.21375  (not concave)
Iteration 120: log pseudolikelihood = -310.21316  (not concave)
Iteration 121: log pseudolikelihood = -310.21259  (not concave)
Iteration 122: log pseudolikelihood = -310.21201  (not concave)
Iteration 123: log pseudolikelihood = -310.21143  (not concave)
Iteration 124: log pseudolikelihood = -310.21086  (not concave)
Iteration 125: log pseudolikelihood = -310.21029  (not concave)
Iteration 126: log pseudolikelihood = -310.20972  (not concave)
Iteration 127: log pseudolikelihood = -310.20915  (not concave)
Iteration 128: log pseudolikelihood = -310.20858  (not concave)
Iteration 129: log pseudolikelihood = -310.20802  (not concave)
Iteration 130: log pseudolikelihood = -310.20745  (not concave)
Iteration 131: log pseudolikelihood = -310.20689  (not concave)
Iteration 132: log pseudolikelihood = -310.20633  (not concave)
Iteration 133: log pseudolikelihood = -310.20578  (not concave)
Iteration 134: log pseudolikelihood = -310.20522  (not concave)
Iteration 135: log pseudolikelihood = -310.20467  (not concave)
Iteration 136: log pseudolikelihood = -310.20411  (not concave)
Iteration 137: log pseudolikelihood = -310.20356  (not concave)
Iteration 138: log pseudolikelihood = -310.20301  (not concave)
Iteration 139: log pseudolikelihood = -310.20246  (not concave)
Iteration 140: log pseudolikelihood = -310.20192  (not concave)
Iteration 141: log pseudolikelihood = -310.20137  (not concave)
Iteration 142: log pseudolikelihood = -310.20083  (not concave)
Iteration 143: log pseudolikelihood = -310.20029  (not concave)
Iteration 144: log pseudolikelihood = -310.19975  (not concave)
Iteration 145: log pseudolikelihood = -310.19921  (not concave)
Iteration 146: log pseudolikelihood = -310.19867  (not concave)
Iteration 147: log pseudolikelihood = -310.19813  (not concave)
Iteration 148: log pseudolikelihood =  -310.1976  (not concave)
Iteration 149: log pseudolikelihood = -310.19707  (not concave)
Iteration 150: log pseudolikelihood = -310.19654  (not concave)
Iteration 151: log pseudolikelihood = -310.19601  (not concave)
Iteration 152: log pseudolikelihood = -310.19548  (not concave)
Iteration 153: log pseudolikelihood = -310.19495  (not concave)
Iteration 154: log pseudolikelihood = -310.19442  (not concave)
Iteration 155: log pseudolikelihood =  -310.1939  (not concave)
Iteration 156: log pseudolikelihood = -310.19338  (not concave)
Iteration 157: log pseudolikelihood = -310.19286  (not concave)
Iteration 158: log pseudolikelihood = -310.19234  (not concave)
Iteration 159: log pseudolikelihood = -310.19182  (not concave)
Iteration 160: log pseudolikelihood =  -310.1913  (not concave)
Iteration 161: log pseudolikelihood = -310.19078  (not concave)
Iteration 162: log pseudolikelihood = -310.19027  (not concave)
Iteration 163: log pseudolikelihood = -310.18976  (not concave)
Iteration 164: log pseudolikelihood = -310.18924  (not concave)
Iteration 165: log pseudolikelihood = -310.18873  (not concave)
Iteration 166: log pseudolikelihood = -310.18822  (not concave)
Iteration 167: log pseudolikelihood = -310.18771  (not concave)
Iteration 168: log pseudolikelihood = -310.18721  (not concave)
Iteration 169: log pseudolikelihood =  -310.1867  (not concave)
Iteration 170: log pseudolikelihood =  -310.1862  (not concave)
Iteration 171: log pseudolikelihood = -310.18569  (not concave)
Iteration 172: log pseudolikelihood = -310.18519  (not concave)
Iteration 173: log pseudolikelihood = -310.18469  (not concave)
Iteration 174: log pseudolikelihood = -310.18419  (not concave)
Iteration 175: log pseudolikelihood = -310.18369  (not concave)
Iteration 176: log pseudolikelihood = -310.18319  (not concave)
Iteration 177: log pseudolikelihood =  -310.1827  (not concave)
Iteration 178: log pseudolikelihood =  -310.1822  (not concave)
Iteration 179: log pseudolikelihood = -310.18171  (not concave)
Iteration 180: log pseudolikelihood = -310.18122  (not concave)
Iteration 181: log pseudolikelihood = -310.18073  (not concave)
Iteration 182: log pseudolikelihood = -310.18024  (not concave)
Iteration 183: log pseudolikelihood = -310.17975  (not concave)
Iteration 184: log pseudolikelihood = -310.17926  (not concave)
Iteration 185: log pseudolikelihood = -310.17877  (not concave)
Iteration 186: log pseudolikelihood = -310.17829  (not concave)
Iteration 187: log pseudolikelihood =  -310.1778  (not concave)
Iteration 188: log pseudolikelihood = -310.17732  (not concave)
Iteration 189: log pseudolikelihood = -310.17683  (not concave)
Iteration 190: log pseudolikelihood = -310.17635  (not concave)
Iteration 191: log pseudolikelihood = -310.17587  (not concave)
Iteration 192: log pseudolikelihood = -310.17539  (not concave)
Iteration 193: log pseudolikelihood = -310.17491  (not concave)
Iteration 194: log pseudolikelihood = -310.17444  (not concave)
Iteration 195: log pseudolikelihood = -310.17396  (not concave)
Iteration 196: log pseudolikelihood = -310.17349  (not concave)
Iteration 197: log pseudolikelihood = -310.17301  (not concave)
Iteration 198: log pseudolikelihood = -310.17254  (not concave)
Iteration 199: log pseudolikelihood = -310.17207  (not concave)
Iteration 200: log pseudolikelihood = -310.17159  (not concave)
Iteration 201: log pseudolikelihood = -310.17112  (not concave)
Iteration 202: log pseudolikelihood = -310.17065  (not concave)
Iteration 203: log pseudolikelihood = -310.17019  (not concave)
Iteration 204: log pseudolikelihood = -310.16972  (not concave)
Iteration 205: log pseudolikelihood = -310.16925  (not concave)
Iteration 206: log pseudolikelihood = -310.16879  (not concave)
Iteration 207: log pseudolikelihood = -310.16832  (not concave)
Iteration 208: log pseudolikelihood = -310.16786  (not concave)
Iteration 209: log pseudolikelihood =  -310.1674  (not concave)
Iteration 210: log pseudolikelihood = -310.16694  (not concave)
Iteration 211: log pseudolikelihood = -310.16647  (not concave)
Iteration 212: log pseudolikelihood = -310.16602  (not concave)
Iteration 213: log pseudolikelihood = -310.16556  (not concave)
Iteration 214: log pseudolikelihood =  -310.1651  (not concave)
Iteration 215: log pseudolikelihood = -310.16464  (not concave)
Iteration 216: log pseudolikelihood = -310.16419  (not concave)
Iteration 217: log pseudolikelihood = -310.16373  (not concave)
Iteration 218: log pseudolikelihood = -310.16328  (not concave)
Iteration 219: log pseudolikelihood = -310.16282  (not concave)
Iteration 220: log pseudolikelihood = -310.16237  (not concave)
Iteration 221: log pseudolikelihood = -310.16192  (not concave)
Iteration 222: log pseudolikelihood = -310.16147  (not concave)
Iteration 223: log pseudolikelihood = -310.16102  (not concave)
Iteration 224: log pseudolikelihood = -310.16057  (not concave)
Iteration 225: log pseudolikelihood = -310.16012  (not concave)
Iteration 226: log pseudolikelihood = -310.15967  (not concave)
Iteration 227: log pseudolikelihood = -310.15923  (not concave)
Iteration 228: log pseudolikelihood = -310.15878  (not concave)
Iteration 229: log pseudolikelihood = -310.15834  (not concave)
Iteration 230: log pseudolikelihood = -310.15789  (not concave)
Iteration 231: log pseudolikelihood = -310.15745  (not concave)
Iteration 232: log pseudolikelihood = -310.15701  (not concave)
Iteration 233: log pseudolikelihood = -310.15657  (not concave)
Iteration 234: log pseudolikelihood = -310.15612  (not concave)
Iteration 235: log pseudolikelihood = -310.15568  (not concave)
Iteration 236: log pseudolikelihood = -310.15525  (not concave)
Iteration 237: log pseudolikelihood = -310.15481  (not concave)
Iteration 238: log pseudolikelihood = -310.15437  (not concave)
Iteration 239: log pseudolikelihood = -310.15393  (not concave)
Iteration 240: log pseudolikelihood =  -310.1535  (not concave)
Iteration 241: log pseudolikelihood = -310.15306  (not concave)
Iteration 242: log pseudolikelihood = -310.15263  (not concave)
Iteration 243: log pseudolikelihood = -310.15219  (not concave)
Iteration 244: log pseudolikelihood = -310.15176  (not concave)
Iteration 245: log pseudolikelihood = -310.15133  (not concave)
Iteration 246: log pseudolikelihood =  -310.1509  (not concave)
Iteration 247: log pseudolikelihood = -310.15047  (not concave)
Iteration 248: log pseudolikelihood = -310.15004  (not concave)
Iteration 249: log pseudolikelihood = -310.14961  (not concave)
Iteration 250: log pseudolikelihood = -310.14918  (not concave)
Iteration 251: log pseudolikelihood = -310.14875  (not concave)
Iteration 252: log pseudolikelihood = -310.14832  (not concave)
Iteration 253: log pseudolikelihood =  -310.1479  (not concave)
Iteration 254: log pseudolikelihood = -310.14747  (not concave)
Iteration 255: log pseudolikelihood = -310.14705  (not concave)
Iteration 256: log pseudolikelihood = -310.14662  (not concave)
Iteration 257: log pseudolikelihood =  -310.1462  (not concave)
Iteration 258: log pseudolikelihood = -310.14578  (not concave)
Iteration 259: log pseudolikelihood = -310.14535  (not concave)
Iteration 260: log pseudolikelihood = -310.14493  (not concave)
Iteration 261: log pseudolikelihood = -310.14451  (not concave)
Iteration 262: log pseudolikelihood = -310.14409  (not concave)
Iteration 263: log pseudolikelihood = -310.14367  (not concave)
Iteration 264: log pseudolikelihood = -310.14325  (not concave)
Iteration 265: log pseudolikelihood = -310.14284  (not concave)
Iteration 266: log pseudolikelihood = -310.14242  (not concave)
Iteration 267: log pseudolikelihood =   -310.142  (not concave)
Iteration 268: log pseudolikelihood = -310.14159  (not concave)
Iteration 269: log pseudolikelihood = -310.14117  (not concave)
Iteration 270: log pseudolikelihood = -310.14076  (not concave)
Iteration 271: log pseudolikelihood = -310.14034  (not concave)
Iteration 272: log pseudolikelihood = -310.13993  (not concave)
Iteration 273: log pseudolikelihood = -310.13952  (not concave)
Iteration 274: log pseudolikelihood = -310.13911  (not concave)
Iteration 275: log pseudolikelihood = -310.13869  (not concave)
Iteration 276: log pseudolikelihood = -310.13828  (not concave)
Iteration 277: log pseudolikelihood = -310.13787  (not concave)
Iteration 278: log pseudolikelihood = -310.13746  (not concave)
Iteration 279: log pseudolikelihood = -310.13706  (not concave)
Iteration 280: log pseudolikelihood = -310.13665  (not concave)
Iteration 281: log pseudolikelihood = -310.13624  (not concave)
Iteration 282: log pseudolikelihood = -310.13583  (not concave)
Iteration 283: log pseudolikelihood = -310.13543  (not concave)
Iteration 284: log pseudolikelihood = -310.13502  (not concave)
Iteration 285: log pseudolikelihood = -310.13462  (not concave)
Iteration 286: log pseudolikelihood = -310.13421  (not concave)
Iteration 287: log pseudolikelihood = -310.13381  (not concave)
Iteration 288: log pseudolikelihood =  -310.1334  (not concave)
Iteration 289: log pseudolikelihood =   -310.133  (not concave)
Iteration 290: log pseudolikelihood =  -310.1326  (not concave)
Iteration 291: log pseudolikelihood =  -310.1322  (not concave)
Iteration 292: log pseudolikelihood =  -310.1318  (not concave)
Iteration 293: log pseudolikelihood =  -310.1314  (not concave)
Iteration 294: log pseudolikelihood =   -310.131  (not concave)
Iteration 295: log pseudolikelihood =  -310.1306  (not concave)
Iteration 296: log pseudolikelihood =  -310.1302  (not concave)
Iteration 297: log pseudolikelihood =  -310.1298  (not concave)
Iteration 298: log pseudolikelihood =  -310.1294  (not concave)
Iteration 299: log pseudolikelihood = -310.12901  (not concave)
Iteration 300: log pseudolikelihood = -310.12861  (not concave)
Iteration 301: log pseudolikelihood = -310.12821  (not concave)
Iteration 302: log pseudolikelihood = -310.12782  (not concave)
Iteration 303: log pseudolikelihood = -310.12742  (not concave)
Iteration 304: log pseudolikelihood = -310.12703  (not concave)
Iteration 305: log pseudolikelihood = -310.12664  (not concave)
Iteration 306: log pseudolikelihood = -310.12624  (not concave)
Iteration 307: log pseudolikelihood = -310.12585  (not concave)
Iteration 308: log pseudolikelihood = -310.12546  (not concave)
Iteration 309: log pseudolikelihood = -310.12507  (not concave)
Iteration 310: log pseudolikelihood = -310.12468  (not concave)
Iteration 311: log pseudolikelihood = -310.12429  (not concave)
Iteration 312: log pseudolikelihood =  -310.1239  (not concave)
Iteration 313: log pseudolikelihood = -310.12351  (not concave)
Iteration 314: log pseudolikelihood = -310.12312  (not concave)
Iteration 315: log pseudolikelihood = -310.12273  (not concave)
Iteration 316: log pseudolikelihood = -310.12234  (not concave)
Iteration 317: log pseudolikelihood = -310.12196  (not concave)
Iteration 318: log pseudolikelihood = -310.12157  (not concave)
Iteration 319: log pseudolikelihood = -310.12118  (not concave)
Iteration 320: log pseudolikelihood =  -310.1208  (not concave)
Iteration 321: log pseudolikelihood = -310.12041  (not concave)
Iteration 322: log pseudolikelihood = -310.12003  (not concave)
Iteration 323: log pseudolikelihood = -310.11964  (not concave)
Iteration 324: log pseudolikelihood = -310.11926  (not concave)
Iteration 325: log pseudolikelihood = -310.11888  (not concave)
Iteration 326: log pseudolikelihood = -310.11849  (not concave)
Iteration 327: log pseudolikelihood = -310.11811  (not concave)
Iteration 328: log pseudolikelihood = -310.11773  (not concave)
Iteration 329: log pseudolikelihood = -310.11735  (not concave)
Iteration 330: log pseudolikelihood = -310.11697  (not concave)
Iteration 331: log pseudolikelihood = -310.11659  (not concave)
Iteration 332: log pseudolikelihood = -310.11621  (not concave)
Iteration 333: log pseudolikelihood = -310.11583  (not concave)
Iteration 334: log pseudolikelihood = -310.11545  (not concave)
Iteration 335: log pseudolikelihood = -310.11507  (not concave)
Iteration 336: log pseudolikelihood =  -310.1147  (not concave)
Iteration 337: log pseudolikelihood = -310.11432  (not concave)
Iteration 338: log pseudolikelihood = -310.11394  (not concave)
Iteration 339: log pseudolikelihood = -310.11357  (not concave)
Iteration 340: log pseudolikelihood = -310.11319  (not concave)
Iteration 341: log pseudolikelihood = -310.11282  (not concave)
Iteration 342: log pseudolikelihood = -310.11244  (not concave)
Iteration 343: log pseudolikelihood = -310.11207  (not concave)
Iteration 344: log pseudolikelihood = -310.11169  (not concave)
Iteration 345: log pseudolikelihood = -310.11132  (not concave)
Iteration 346: log pseudolikelihood = -310.11095  (not concave)
Iteration 347: log pseudolikelihood = -310.11057  (not concave)
Iteration 348: log pseudolikelihood =  -310.1102  (not concave)
Iteration 349: log pseudolikelihood = -310.10983  (not concave)
Iteration 350: log pseudolikelihood = -310.10946  (not concave)
Iteration 351: log pseudolikelihood = -310.10909  (not concave)
Iteration 352: log pseudolikelihood = -310.10872  (not concave)
Iteration 353: log pseudolikelihood = -310.10835  (not concave)
Iteration 354: log pseudolikelihood = -310.10798  (not concave)
Iteration 355: log pseudolikelihood = -310.10761  (not concave)
Iteration 356: log pseudolikelihood = -310.10724  (not concave)
Iteration 357: log pseudolikelihood = -310.10687  (not concave)
Iteration 358: log pseudolikelihood = -310.10651  (not concave)
Iteration 359: log pseudolikelihood = -310.10614  (not concave)
Iteration 360: log pseudolikelihood = -310.10577  (not concave)
Iteration 361: log pseudolikelihood = -310.10541  (not concave)
Iteration 362: log pseudolikelihood = -310.10504  (not concave)
Iteration 363: log pseudolikelihood = -310.10468  (not concave)
Iteration 364: log pseudolikelihood = -310.10431  (not concave)
Iteration 365: log pseudolikelihood = -310.10395  (not concave)
Iteration 366: log pseudolikelihood = -310.10358  (not concave)
Iteration 367: log pseudolikelihood = -310.10322  (not concave)
Iteration 368: log pseudolikelihood = -310.10286  (not concave)
Iteration 369: log pseudolikelihood = -310.10249  (not concave)
Iteration 370: log pseudolikelihood = -310.10213  (not concave)
Iteration 371: log pseudolikelihood = -310.10177  (not concave)
Iteration 372: log pseudolikelihood = -310.10141  (not concave)
Iteration 373: log pseudolikelihood = -310.10105  (not concave)
Iteration 374: log pseudolikelihood = -310.10069  (not concave)
Iteration 375: log pseudolikelihood = -310.10032  (not concave)
Iteration 376: log pseudolikelihood = -310.09996  (not concave)
Iteration 377: log pseudolikelihood = -310.09961  (not concave)
Iteration 378: log pseudolikelihood = -310.09925  (not concave)
Iteration 379: log pseudolikelihood = -310.09889  (not concave)
Iteration 380: log pseudolikelihood = -310.09853  (not concave)
Iteration 381: log pseudolikelihood = -310.09817  (not concave)
Iteration 382: log pseudolikelihood = -310.09781  (not concave)
Iteration 383: log pseudolikelihood = -310.09746  (not concave)
Iteration 384: log pseudolikelihood =  -310.0971  (not concave)
Iteration 385: log pseudolikelihood = -310.09674  (not concave)
Iteration 386: log pseudolikelihood = -310.09639  (not concave)
Iteration 387: log pseudolikelihood = -310.09603  (not concave)
Iteration 388: log pseudolikelihood = -310.09568  (not concave)
Iteration 389: log pseudolikelihood = -310.09532  (not concave)
Iteration 390: log pseudolikelihood = -310.09497  (not concave)
Iteration 391: log pseudolikelihood = -310.09461  (not concave)
Iteration 392: log pseudolikelihood = -310.09426  (not concave)
Iteration 393: log pseudolikelihood = -310.09391  (not concave)
Iteration 394: log pseudolikelihood = -310.09356  (not concave)
Iteration 395: log pseudolikelihood =  -310.0932  (not concave)
Iteration 396: log pseudolikelihood = -310.09285  (not concave)
Iteration 397: log pseudolikelihood =  -310.0925  (not concave)
Iteration 398: log pseudolikelihood = -310.09215  (not concave)
Iteration 399: log pseudolikelihood =  -310.0918  (not concave)
Iteration 400: log pseudolikelihood = -310.09145  (not concave)
Iteration 401: log pseudolikelihood =  -310.0911  (not concave)
Iteration 402: log pseudolikelihood = -310.09075  (not concave)
Iteration 403: log pseudolikelihood =  -310.0904  (not concave)
Iteration 404: log pseudolikelihood = -310.09005  (not concave)
Iteration 405: log pseudolikelihood =  -310.0897  (not concave)
Iteration 406: log pseudolikelihood = -310.08935  (not concave)
Iteration 407: log pseudolikelihood =   -310.089  (not concave)
Iteration 408: log pseudolikelihood = -310.08866  (not concave)
Iteration 409: log pseudolikelihood = -310.08831  (not concave)
Iteration 410: log pseudolikelihood = -310.08796  (not concave)
Iteration 411: log pseudolikelihood = -310.08762  (not concave)
Iteration 412: log pseudolikelihood = -310.08727  (not concave)
Iteration 413: log pseudolikelihood = -310.08693  (not concave)
Iteration 414: log pseudolikelihood = -310.08658  (not concave)
Iteration 415: log pseudolikelihood = -310.08623  (not concave)
Iteration 416: log pseudolikelihood = -310.08589  (not concave)
Iteration 417: log pseudolikelihood = -310.08555  (not concave)
Iteration 418: log pseudolikelihood =  -310.0852  (not concave)
Iteration 419: log pseudolikelihood = -310.08486  (not concave)
Iteration 420: log pseudolikelihood = -310.08452  (not concave)
Iteration 421: log pseudolikelihood = -310.08417  (not concave)
Iteration 422: log pseudolikelihood = -310.08383  (not concave)
Iteration 423: log pseudolikelihood = -310.08349  (not concave)
Iteration 424: log pseudolikelihood = -310.08315  (not concave)
Iteration 425: log pseudolikelihood = -310.08281  (not concave)
Iteration 426: log pseudolikelihood = -310.08246  (not concave)
Iteration 427: log pseudolikelihood = -310.08212  (not concave)
Iteration 428: log pseudolikelihood = -310.08178  (not concave)
Iteration 429: log pseudolikelihood = -310.08144  (not concave)
Iteration 430: log pseudolikelihood =  -310.0811  (not concave)
Iteration 431: log pseudolikelihood = -310.08076  (not concave)
Iteration 432: log pseudolikelihood = -310.08043  (not concave)
Iteration 433: log pseudolikelihood = -310.08009  (not concave)
Iteration 434: log pseudolikelihood = -310.07975  (not concave)
Iteration 435: log pseudolikelihood = -310.07941  (not concave)
Iteration 436: log pseudolikelihood = -310.07907  (not concave)
Iteration 437: log pseudolikelihood = -310.07874  (not concave)
Iteration 438: log pseudolikelihood =  -310.0784  (not concave)
Iteration 439: log pseudolikelihood = -310.07806  (not concave)
Iteration 440: log pseudolikelihood = -310.07773  (not concave)
Iteration 441: log pseudolikelihood = -310.07739  (not concave)
Iteration 442: log pseudolikelihood = -310.07705  (not concave)
Iteration 443: log pseudolikelihood = -310.07672  (not concave)
Iteration 444: log pseudolikelihood = -310.07638  (not concave)
Iteration 445: log pseudolikelihood = -310.07605  (not concave)
Iteration 446: log pseudolikelihood = -310.07572  (not concave)
Iteration 447: log pseudolikelihood = -310.07538  (not concave)
Iteration 448: log pseudolikelihood = -310.07505  (not concave)
Iteration 449: log pseudolikelihood = -310.07471  (not concave)
Iteration 450: log pseudolikelihood = -310.07438  (not concave)
Iteration 451: log pseudolikelihood = -310.07405  (not concave)
Iteration 452: log pseudolikelihood = -310.07372  (not concave)
Iteration 453: log pseudolikelihood = -310.07338  (not concave)
Iteration 454: log pseudolikelihood = -310.07305  (not concave)
Iteration 455: log pseudolikelihood = -310.07272  (not concave)
Iteration 456: log pseudolikelihood = -310.07239  (not concave)
Iteration 457: log pseudolikelihood = -310.07206  (not concave)
Iteration 458: log pseudolikelihood = -310.07173  (not concave)
Iteration 459: log pseudolikelihood =  -310.0714  (not concave)
Iteration 460: log pseudolikelihood = -310.07107  (not concave)
Iteration 461: log pseudolikelihood = -310.07074  (not concave)
Iteration 462: log pseudolikelihood = -310.07041  (not concave)
Iteration 463: log pseudolikelihood = -310.07008  (not concave)
Iteration 464: log pseudolikelihood = -310.06975  (not concave)
Iteration 465: log pseudolikelihood = -310.06943  (not concave)
Iteration 466: log pseudolikelihood =  -310.0691  (not concave)
Iteration 467: log pseudolikelihood = -310.06877  (not concave)
Iteration 468: log pseudolikelihood = -310.06844  (not concave)
Iteration 469: log pseudolikelihood = -310.06812  (not concave)
Iteration 470: log pseudolikelihood = -310.06779  (not concave)
Iteration 471: log pseudolikelihood = -310.06746  (not concave)
Iteration 472: log pseudolikelihood = -310.06714  (not concave)
Iteration 473: log pseudolikelihood = -310.06681  (not concave)
Iteration 474: log pseudolikelihood = -310.06649  (not concave)
Iteration 475: log pseudolikelihood = -310.06616  (not concave)
Iteration 476: log pseudolikelihood = -310.06584  (not concave)
Iteration 477: log pseudolikelihood = -310.06551  (not concave)
Iteration 478: log pseudolikelihood = -310.06519  (not concave)
Iteration 479: log pseudolikelihood = -310.06486  (not concave)
Iteration 480: log pseudolikelihood = -310.06454  (not concave)
Iteration 481: log pseudolikelihood = -310.06422  (not concave)
Iteration 482: log pseudolikelihood = -310.06389  (not concave)
Iteration 483: log pseudolikelihood = -310.06357  (not concave)
Iteration 484: log pseudolikelihood = -310.06325  (not concave)
Iteration 485: log pseudolikelihood = -310.06293  (not concave)
Iteration 486: log pseudolikelihood = -310.06261  (not concave)
Iteration 487: log pseudolikelihood = -310.06228  (not concave)
Iteration 488: log pseudolikelihood = -310.06196  (not concave)
Iteration 489: log pseudolikelihood = -310.06164  (not concave)
Iteration 490: log pseudolikelihood = -310.06132  (not concave)
Iteration 491: log pseudolikelihood =   -310.061  (not concave)
Iteration 492: log pseudolikelihood = -310.06068  (not concave)
Iteration 493: log pseudolikelihood = -310.06036  (not concave)
Iteration 494: log pseudolikelihood = -310.06004  (not concave)
Iteration 495: log pseudolikelihood = -310.05972  (not concave)
Iteration 496: log pseudolikelihood =  -310.0594  (not concave)
Iteration 497: log pseudolikelihood = -310.05909  (not concave)
Iteration 498: log pseudolikelihood = -310.05877  (not concave)
Iteration 499: log pseudolikelihood = -310.05845  (not concave)
Iteration 500: log pseudolikelihood = -310.05813  (not concave)
Iteration 501: log pseudolikelihood = -310.05782  (not concave)
Iteration 502: log pseudolikelihood =  -310.0575  (not concave)
Iteration 503: log pseudolikelihood = -310.05718  (not concave)
Iteration 504: log pseudolikelihood = -310.05686  (not concave)
Iteration 505: log pseudolikelihood = -310.05655  (not concave)
Iteration 506: log pseudolikelihood = -310.05623  (not concave)
Iteration 507: log pseudolikelihood = -310.05592  (not concave)
Iteration 508: log pseudolikelihood =  -310.0556  (not concave)
Iteration 509: log pseudolikelihood = -310.05529  (not concave)
Iteration 510: log pseudolikelihood = -310.05497  (not concave)
Iteration 511: log pseudolikelihood = -310.05466  (not concave)
Iteration 512: log pseudolikelihood = -310.05434  (not concave)
Iteration 513: log pseudolikelihood = -310.05403  (not concave)
Iteration 514: log pseudolikelihood = -310.05372  (not concave)
Iteration 515: log pseudolikelihood =  -310.0534  (not concave)
Iteration 516: log pseudolikelihood = -310.05309  (not concave)
Iteration 517: log pseudolikelihood = -310.05278  (not concave)
Iteration 518: log pseudolikelihood = -310.05246  (not concave)
Iteration 519: log pseudolikelihood = -310.05215  (not concave)
Iteration 520: log pseudolikelihood = -310.05184  (not concave)
Iteration 521: log pseudolikelihood = -310.05153  (not concave)
Iteration 522: log pseudolikelihood = -310.05122  (not concave)
Iteration 523: log pseudolikelihood = -310.05091  (not concave)
Iteration 524: log pseudolikelihood = -310.05059  (not concave)
Iteration 525: log pseudolikelihood = -310.05028  (not concave)
Iteration 526: log pseudolikelihood = -310.04997  (not concave)
Iteration 527: log pseudolikelihood = -310.04966  (not concave)
Iteration 528: log pseudolikelihood = -310.04935  (not concave)
Iteration 529: log pseudolikelihood = -310.04904  (not concave)
Iteration 530: log pseudolikelihood = -310.04874  (not concave)
Iteration 531: log pseudolikelihood = -310.04843  (not concave)
Iteration 532: log pseudolikelihood = -310.04812  (not concave)
Iteration 533: log pseudolikelihood = -310.04781  (not concave)
Iteration 534: log pseudolikelihood =  -310.0475  (not concave)
Iteration 535: log pseudolikelihood = -310.04719  (not concave)
Iteration 536: log pseudolikelihood = -310.04689  (not concave)
Iteration 537: log pseudolikelihood = -310.04658  (not concave)
Iteration 538: log pseudolikelihood = -310.04627  (not concave)
Iteration 539: log pseudolikelihood = -310.04597  (not concave)
Iteration 540: log pseudolikelihood = -310.04566  (not concave)
Iteration 541: log pseudolikelihood = -310.04535  (not concave)
Iteration 542: log pseudolikelihood = -310.04505  (not concave)
Iteration 543: log pseudolikelihood = -310.04474  (not concave)
Iteration 544: log pseudolikelihood = -310.04444  (not concave)
Iteration 545: log pseudolikelihood = -310.04413  (not concave)
Iteration 546: log pseudolikelihood = -310.04383  (not concave)
Iteration 547: log pseudolikelihood = -310.04352  (not concave)
Iteration 548: log pseudolikelihood = -310.04322  (not concave)
Iteration 549: log pseudolikelihood = -310.04291  (not concave)
Iteration 550: log pseudolikelihood = -310.04261  (not concave)
Iteration 551: log pseudolikelihood =  -310.0423  (not concave)
Iteration 552: log pseudolikelihood =   -310.042  (not concave)
Iteration 553: log pseudolikelihood =  -310.0417  (not concave)
Iteration 554: log pseudolikelihood =  -310.0414  (not concave)
Iteration 555: log pseudolikelihood = -310.04109  (not concave)
Iteration 556: log pseudolikelihood = -310.04079  (not concave)
Iteration 557: log pseudolikelihood = -310.04049  (not concave)
Iteration 558: log pseudolikelihood = -310.04019  (not concave)
Iteration 559: log pseudolikelihood = -310.03989  (not concave)
Iteration 560: log pseudolikelihood = -310.03958  (not concave)
Iteration 561: log pseudolikelihood = -310.03928  (not concave)
Iteration 562: log pseudolikelihood = -310.03898  (not concave)
Iteration 563: log pseudolikelihood = -310.03868  (not concave)
Iteration 564: log pseudolikelihood = -310.03838  (not concave)
Iteration 565: log pseudolikelihood = -310.03808  (not concave)
Iteration 566: log pseudolikelihood = -310.03778  (not concave)
Iteration 567: log pseudolikelihood = -310.03748  (not concave)
Iteration 568: log pseudolikelihood = -310.03718  (not concave)
Iteration 569: log pseudolikelihood = -310.03689  (not concave)
Iteration 570: log pseudolikelihood = -310.03659  (not concave)
Iteration 571: log pseudolikelihood = -310.03629  (not concave)
Iteration 572: log pseudolikelihood = -310.03599  (not concave)
Iteration 573: log pseudolikelihood = -310.03569  (not concave)
Iteration 574: log pseudolikelihood = -310.03539  (not concave)
Iteration 575: log pseudolikelihood =  -310.0351  (not concave)
Iteration 576: log pseudolikelihood =  -310.0348  (not concave)
Iteration 577: log pseudolikelihood =  -310.0345  (not concave)
Iteration 578: log pseudolikelihood = -310.03421  (not concave)
Iteration 579: log pseudolikelihood = -310.03391  (not concave)
Iteration 580: log pseudolikelihood = -310.03361  (not concave)
Iteration 581: log pseudolikelihood = -310.03332  (not concave)
Iteration 582: log pseudolikelihood = -310.03302  (not concave)
Iteration 583: log pseudolikelihood = -310.03273  (not concave)
Iteration 584: log pseudolikelihood = -310.03243  (not concave)
Iteration 585: log pseudolikelihood = -310.03214  (not concave)
Iteration 586: log pseudolikelihood = -310.03184  (not concave)
Iteration 587: log pseudolikelihood = -310.03155  (not concave)
Iteration 588: log pseudolikelihood = -310.03126  (not concave)
Iteration 589: log pseudolikelihood = -310.03096  (not concave)
Iteration 590: log pseudolikelihood = -310.03067  (not concave)
Iteration 591: log pseudolikelihood = -310.03037  (not concave)
Iteration 592: log pseudolikelihood = -310.03008  (not concave)
Iteration 593: log pseudolikelihood = -310.02979  (not concave)
Iteration 594: log pseudolikelihood =  -310.0295  (not concave)
Iteration 595: log pseudolikelihood =  -310.0292  (not concave)
Iteration 596: log pseudolikelihood = -310.02891  (not concave)
Iteration 597: log pseudolikelihood = -310.02862  (not concave)
Iteration 598: log pseudolikelihood = -310.02833  (not concave)
Iteration 599: log pseudolikelihood = -310.02804  (not concave)
Iteration 600: log pseudolikelihood = -310.02775  (not concave)
Iteration 601: log pseudolikelihood = -310.02745  (not concave)
Iteration 602: log pseudolikelihood = -310.02716  (not concave)
Iteration 603: log pseudolikelihood = -310.02687  (not concave)
Iteration 604: log pseudolikelihood = -310.02658  (not concave)
Iteration 605: log pseudolikelihood = -310.02629  (not concave)
Iteration 606: log pseudolikelihood =   -310.026  (not concave)
Iteration 607: log pseudolikelihood = -310.02571  (not concave)
Iteration 608: log pseudolikelihood = -310.02543  (not concave)
Iteration 609: log pseudolikelihood = -310.02514  (not concave)
Iteration 610: log pseudolikelihood = -310.02485  (not concave)
Iteration 611: log pseudolikelihood = -310.02456  (not concave)
Iteration 612: log pseudolikelihood = -310.02427  (not concave)
Iteration 613: log pseudolikelihood = -310.02398  (not concave)
Iteration 614: log pseudolikelihood =  -310.0237  (not concave)
Iteration 615: log pseudolikelihood = -310.02341  (not concave)
Iteration 616: log pseudolikelihood = -310.02312  (not concave)
Iteration 617: log pseudolikelihood = -310.02283  (not concave)
Iteration 618: log pseudolikelihood = -310.02255  (not concave)
Iteration 619: log pseudolikelihood = -310.02226  (not concave)
Iteration 620: log pseudolikelihood = -310.02197  (not concave)
Iteration 621: log pseudolikelihood = -310.02169  (not concave)
Iteration 622: log pseudolikelihood =  -310.0214  (not concave)
Iteration 623: log pseudolikelihood = -310.02112  (not concave)
Iteration 624: log pseudolikelihood = -310.02083  (not concave)
Iteration 625: log pseudolikelihood = -310.02055  (not concave)
Iteration 626: log pseudolikelihood = -310.02026  (not concave)
Iteration 627: log pseudolikelihood = -310.01998  (not concave)
Iteration 628: log pseudolikelihood = -310.01969  (not concave)
Iteration 629: log pseudolikelihood = -310.01941  (not concave)
Iteration 630: log pseudolikelihood = -310.01912  (not concave)
Iteration 631: log pseudolikelihood = -310.01884  (not concave)
Iteration 632: log pseudolikelihood = -310.01856  (not concave)
Iteration 633: log pseudolikelihood = -310.01827  (not concave)
Iteration 634: log pseudolikelihood = -310.01799  (not concave)
Iteration 635: log pseudolikelihood = -310.01771  (not concave)
Iteration 636: log pseudolikelihood = -310.01743  (not concave)
Iteration 637: log pseudolikelihood = -310.01714  (not concave)
Iteration 638: log pseudolikelihood = -310.01686  (not concave)
Iteration 639: log pseudolikelihood = -310.01658  (not concave)
Iteration 640: log pseudolikelihood =  -310.0163  (not concave)
Iteration 641: log pseudolikelihood = -310.01602  (not concave)
Iteration 642: log pseudolikelihood = -310.01574  (not concave)
Iteration 643: log pseudolikelihood = -310.01546  (not concave)
Iteration 644: log pseudolikelihood = -310.01517  (not concave)
Iteration 645: log pseudolikelihood = -310.01489  (not concave)
Iteration 646: log pseudolikelihood = -310.01461  (not concave)
Iteration 647: log pseudolikelihood = -310.01433  (not concave)
Iteration 648: log pseudolikelihood = -310.01405  (not concave)
Iteration 649: log pseudolikelihood = -310.01378  (not concave)
Iteration 650: log pseudolikelihood =  -310.0135  (not concave)
Iteration 651: log pseudolikelihood = -310.01322  (not concave)
Iteration 652: log pseudolikelihood = -310.01294  (not concave)
Iteration 653: log pseudolikelihood = -310.01266  (not concave)
Iteration 654: log pseudolikelihood = -310.01238  (not concave)
Iteration 655: log pseudolikelihood =  -310.0121  (not concave)
Iteration 656: log pseudolikelihood = -310.01183  (not concave)
Iteration 657: log pseudolikelihood = -310.01155  (not concave)
Iteration 658: log pseudolikelihood = -310.01127  (not concave)
Iteration 659: log pseudolikelihood = -310.01099  (not concave)
Iteration 660: log pseudolikelihood = -310.01072  (not concave)
Iteration 661: log pseudolikelihood = -310.01044  (not concave)
Iteration 662: log pseudolikelihood = -310.01016  (not concave)
Iteration 663: log pseudolikelihood = -310.00989  (not concave)
Iteration 664: log pseudolikelihood = -310.00961  (not concave)
Iteration 665: log pseudolikelihood = -310.00934  (not concave)
Iteration 666: log pseudolikelihood = -310.00906  (not concave)
Iteration 667: log pseudolikelihood = -310.00878  (not concave)
Iteration 668: log pseudolikelihood = -310.00851  (not concave)
Iteration 669: log pseudolikelihood = -310.00823  (not concave)
Iteration 670: log pseudolikelihood = -310.00796  (not concave)
Iteration 671: log pseudolikelihood = -310.00769  (not concave)
Iteration 672: log pseudolikelihood = -310.00741  (not concave)
Iteration 673: log pseudolikelihood = -310.00714  (not concave)
Iteration 674: log pseudolikelihood = -310.00686  (not concave)
Iteration 675: log pseudolikelihood = -310.00659  (not concave)
Iteration 676: log pseudolikelihood = -310.00632  (not concave)
Iteration 677: log pseudolikelihood = -310.00604  (not concave)
Iteration 678: log pseudolikelihood = -310.00577  (not concave)
Iteration 679: log pseudolikelihood =  -310.0055  (not concave)
Iteration 680: log pseudolikelihood = -310.00523  (not concave)
Iteration 681: log pseudolikelihood = -310.00495  (not concave)
Iteration 682: log pseudolikelihood = -310.00468  (not concave)
Iteration 683: log pseudolikelihood = -310.00441  (not concave)
Iteration 684: log pseudolikelihood = -310.00414  (not concave)
Iteration 685: log pseudolikelihood = -310.00387  (not concave)
Iteration 686: log pseudolikelihood =  -310.0036  (not concave)
Iteration 687: log pseudolikelihood = -310.00332  (not concave)
Iteration 688: log pseudolikelihood = -310.00305  (not concave)
Iteration 689: log pseudolikelihood = -310.00278  (not concave)
Iteration 690: log pseudolikelihood = -310.00251  (not concave)
Iteration 691: log pseudolikelihood = -310.00224  (not concave)
Iteration 692: log pseudolikelihood = -310.00197  (not concave)
Iteration 693: log pseudolikelihood =  -310.0017  (not concave)
Iteration 694: log pseudolikelihood = -310.00143  (not concave)
Iteration 695: log pseudolikelihood = -310.00117  (not concave)
Iteration 696: log pseudolikelihood =  -310.0009  (not concave)
Iteration 697: log pseudolikelihood = -310.00063  (not concave)
Iteration 698: log pseudolikelihood = -310.00036  (not concave)
Iteration 699: log pseudolikelihood = -310.00009  (not concave)
Iteration 700: log pseudolikelihood = -309.99982  (not concave)
Iteration 701: log pseudolikelihood = -309.99956  (not concave)
Iteration 702: log pseudolikelihood = -309.99929  (not concave)
Iteration 703: log pseudolikelihood = -309.99902  (not concave)
Iteration 704: log pseudolikelihood = -309.99875  (not concave)
Iteration 705: log pseudolikelihood = -309.99849  (not concave)
Iteration 706: log pseudolikelihood = -309.99822  (not concave)
Iteration 707: log pseudolikelihood = -309.99795  (not concave)
Iteration 708: log pseudolikelihood = -309.99769  (not concave)
Iteration 709: log pseudolikelihood = -309.99742  (not concave)
Iteration 710: log pseudolikelihood = -309.99716  (not concave)
Iteration 711: log pseudolikelihood = -309.99689  (not concave)
Iteration 712: log pseudolikelihood = -309.99662  (not concave)
Iteration 713: log pseudolikelihood = -309.99636  (not concave)
Iteration 714: log pseudolikelihood = -309.99609  (not concave)
Iteration 715: log pseudolikelihood = -309.99583  (not concave)
Iteration 716: log pseudolikelihood = -309.99556  (not concave)
Iteration 717: log pseudolikelihood =  -309.9953  (not concave)
Iteration 718: log pseudolikelihood = -309.99504  (not concave)
Iteration 719: log pseudolikelihood = -309.99477  (not concave)
Iteration 720: log pseudolikelihood = -309.99451  (not concave)
Iteration 721: log pseudolikelihood = -309.99425  (not concave)
Iteration 722: log pseudolikelihood = -309.99398  (not concave)
Iteration 723: log pseudolikelihood = -309.99372  (not concave)
Iteration 724: log pseudolikelihood = -309.99346  (not concave)
Iteration 725: log pseudolikelihood = -309.99319  (not concave)
Iteration 726: log pseudolikelihood = -309.99293  (not concave)
Iteration 727: log pseudolikelihood = -309.99267  (not concave)
Iteration 728: log pseudolikelihood = -309.99241  (not concave)
Iteration 729: log pseudolikelihood = -309.99215  (not concave)
Iteration 730: log pseudolikelihood = -309.99188  (not concave)
Iteration 731: log pseudolikelihood = -309.99162  (not concave)
Iteration 732: log pseudolikelihood = -309.99136  (not concave)
Iteration 733: log pseudolikelihood =  -309.9911  (not concave)
Iteration 734: log pseudolikelihood = -309.99084  (not concave)
Iteration 735: log pseudolikelihood = -309.99058  (not concave)
Iteration 736: log pseudolikelihood = -309.99032  (not concave)
Iteration 737: log pseudolikelihood = -309.99006  (not concave)
Iteration 738: log pseudolikelihood =  -309.9898  (not concave)
Iteration 739: log pseudolikelihood = -309.98954  (not concave)
Iteration 740: log pseudolikelihood = -309.98928  (not concave)
Iteration 741: log pseudolikelihood = -309.98902  (not concave)
Iteration 742: log pseudolikelihood = -309.98876  (not concave)
Iteration 743: log pseudolikelihood =  -309.9885  (not concave)
Iteration 744: log pseudolikelihood = -309.98824  (not concave)
Iteration 745: log pseudolikelihood = -309.98799  (not concave)
Iteration 746: log pseudolikelihood = -309.98773  (not concave)
Iteration 747: log pseudolikelihood = -309.98747  (not concave)
Iteration 748: log pseudolikelihood = -309.98721  (not concave)
Iteration 749: log pseudolikelihood = -309.98695  (not concave)
Iteration 750: log pseudolikelihood =  -309.9867  (not concave)
Iteration 751: log pseudolikelihood = -309.98644  (not concave)
Iteration 752: log pseudolikelihood = -309.98618  (not concave)
Iteration 753: log pseudolikelihood = -309.98593  (not concave)
Iteration 754: log pseudolikelihood = -309.98567  (not concave)
Iteration 755: log pseudolikelihood = -309.98541  (not concave)
Iteration 756: log pseudolikelihood = -309.98516  (not concave)
Iteration 757: log pseudolikelihood =  -309.9849  (not concave)
Iteration 758: log pseudolikelihood = -309.98464  (not concave)
Iteration 759: log pseudolikelihood = -309.98439  (not concave)
Iteration 760: log pseudolikelihood = -309.98413  (not concave)
Iteration 761: log pseudolikelihood = -309.98388  (not concave)
Iteration 762: log pseudolikelihood = -309.98362  (not concave)
Iteration 763: log pseudolikelihood = -309.98337  (not concave)
Iteration 764: log pseudolikelihood = -309.98311  (not concave)
Iteration 765: log pseudolikelihood = -309.98286  (not concave)
Iteration 766: log pseudolikelihood = -309.98261  (not concave)
Iteration 767: log pseudolikelihood = -309.98235  (not concave)
Iteration 768: log pseudolikelihood =  -309.9821  (not concave)
Iteration 769: log pseudolikelihood = -309.98184  (not concave)
Iteration 770: log pseudolikelihood = -309.98159  (not concave)
Iteration 771: log pseudolikelihood = -309.98134  (not concave)
Iteration 772: log pseudolikelihood = -309.98109  (not concave)
Iteration 773: log pseudolikelihood = -309.98083  (not concave)
Iteration 774: log pseudolikelihood = -309.98058  (not concave)
Iteration 775: log pseudolikelihood = -309.98033  (not concave)
Iteration 776: log pseudolikelihood = -309.98008  (not concave)
Iteration 777: log pseudolikelihood = -309.97982  (not concave)
Iteration 778: log pseudolikelihood = -309.97957  (not concave)
Iteration 779: log pseudolikelihood = -309.97932  (not concave)
Iteration 780: log pseudolikelihood = -309.97907  (not concave)
Iteration 781: log pseudolikelihood = -309.97882  (not concave)
Iteration 782: log pseudolikelihood = -309.97857  (not concave)
Iteration 783: log pseudolikelihood = -309.97832  (not concave)
Iteration 784: log pseudolikelihood = -309.97807  (not concave)
Iteration 785: log pseudolikelihood = -309.97782  (not concave)
Iteration 786: log pseudolikelihood = -309.97757  (not concave)
Iteration 787: log pseudolikelihood = -309.97732  (not concave)
Iteration 788: log pseudolikelihood = -309.97707  (not concave)
Iteration 789: log pseudolikelihood = -309.97682  (not concave)
Iteration 790: log pseudolikelihood = -309.97657  (not concave)
Iteration 791: log pseudolikelihood = -309.97632  (not concave)
Iteration 792: log pseudolikelihood = -309.97607  (not concave)
Iteration 793: log pseudolikelihood = -309.97582  (not concave)
Iteration 794: log pseudolikelihood = -309.97557  (not concave)
Iteration 795: log pseudolikelihood = -309.97532  (not concave)
Iteration 796: log pseudolikelihood = -309.97508  (not concave)
Iteration 797: log pseudolikelihood = -309.97483  (not concave)
Iteration 798: log pseudolikelihood = -309.97458  (not concave)
Iteration 799: log pseudolikelihood = -309.97433  (not concave)
Iteration 800: log pseudolikelihood = -309.97409  (not concave)
Iteration 801: log pseudolikelihood = -309.97384  (not concave)
Iteration 802: log pseudolikelihood = -309.97359  (not concave)
Iteration 803: log pseudolikelihood = -309.97335  (not concave)
Iteration 804: log pseudolikelihood =  -309.9731  (not concave)
Iteration 805: log pseudolikelihood = -309.97285  (not concave)
Iteration 806: log pseudolikelihood = -309.97261  (not concave)
Iteration 807: log pseudolikelihood = -309.97236  (not concave)
Iteration 808: log pseudolikelihood = -309.97211  (not concave)
Iteration 809: log pseudolikelihood = -309.97187  (not concave)
Iteration 810: log pseudolikelihood = -309.97162  (not concave)
Iteration 811: log pseudolikelihood = -309.97138  (not concave)
Iteration 812: log pseudolikelihood = -309.97113  (not concave)
Iteration 813: log pseudolikelihood = -309.97089  (not concave)
Iteration 814: log pseudolikelihood = -309.97064  (not concave)
Iteration 815: log pseudolikelihood =  -309.9704  (not concave)
Iteration 816: log pseudolikelihood = -309.97016  (not concave)
Iteration 817: log pseudolikelihood = -309.96991  (not concave)
Iteration 818: log pseudolikelihood = -309.96967  (not concave)
Iteration 819: log pseudolikelihood = -309.96942  (not concave)
Iteration 820: log pseudolikelihood = -309.96918  (not concave)
Iteration 821: log pseudolikelihood = -309.96894  (not concave)
Iteration 822: log pseudolikelihood = -309.96869  (not concave)
Iteration 823: log pseudolikelihood = -309.96845  (not concave)
Iteration 824: log pseudolikelihood = -309.96821  (not concave)
Iteration 825: log pseudolikelihood = -309.96797  (not concave)
Iteration 826: log pseudolikelihood = -309.96772  (not concave)
Iteration 827: log pseudolikelihood = -309.96748  (not concave)
Iteration 828: log pseudolikelihood = -309.96724  (not concave)
Iteration 829: log pseudolikelihood =   -309.967  (not concave)
Iteration 830: log pseudolikelihood = -309.96676  (not concave)
Iteration 831: log pseudolikelihood = -309.96652  (not concave)
Iteration 832: log pseudolikelihood = -309.96627  (not concave)
Iteration 833: log pseudolikelihood = -309.96603  (not concave)
Iteration 834: log pseudolikelihood = -309.96579  (not concave)
Iteration 835: log pseudolikelihood = -309.96555  (not concave)
Iteration 836: log pseudolikelihood = -309.96531  (not concave)
Iteration 837: log pseudolikelihood = -309.96507  (not concave)
Iteration 838: log pseudolikelihood = -309.96483  (not concave)
Iteration 839: log pseudolikelihood = -309.96459  (not concave)
Iteration 840: log pseudolikelihood = -309.96435  (not concave)
Iteration 841: log pseudolikelihood = -309.96411  (not concave)
Iteration 842: log pseudolikelihood = -309.96387  (not concave)
Iteration 843: log pseudolikelihood = -309.96363  (not concave)
Iteration 844: log pseudolikelihood = -309.96339  (not concave)
Iteration 845: log pseudolikelihood = -309.96316  (not concave)
Iteration 846: log pseudolikelihood = -309.96292  (not concave)
Iteration 847: log pseudolikelihood = -309.96268  (not concave)
Iteration 848: log pseudolikelihood = -309.96244  (not concave)
Iteration 849: log pseudolikelihood =  -309.9622  (not concave)
Iteration 850: log pseudolikelihood = -309.96197  (not concave)
Iteration 851: log pseudolikelihood = -309.96173  (not concave)
Iteration 852: log pseudolikelihood = -309.96149  (not concave)
Iteration 853: log pseudolikelihood = -309.96125  (not concave)
Iteration 854: log pseudolikelihood = -309.96102  (not concave)
Iteration 855: log pseudolikelihood = -309.96078  (not concave)
Iteration 856: log pseudolikelihood = -309.96054  (not concave)
Iteration 857: log pseudolikelihood = -309.96031  (not concave)
Iteration 858: log pseudolikelihood = -309.96007  (not concave)
Iteration 859: log pseudolikelihood = -309.95983  (not concave)
Iteration 860: log pseudolikelihood =  -309.9596  (not concave)
Iteration 861: log pseudolikelihood = -309.95936  (not concave)
Iteration 862: log pseudolikelihood = -309.95913  (not concave)
Iteration 863: log pseudolikelihood = -309.95889  (not concave)
Iteration 864: log pseudolikelihood = -309.95866  (not concave)
Iteration 865: log pseudolikelihood = -309.95842  (not concave)
Iteration 866: log pseudolikelihood = -309.95819  (not concave)
Iteration 867: log pseudolikelihood = -309.95795  (not concave)
Iteration 868: log pseudolikelihood = -309.95772  (not concave)
Iteration 869: log pseudolikelihood = -309.95748  (not concave)
Iteration 870: log pseudolikelihood = -309.95725  (not concave)
Iteration 871: log pseudolikelihood = -309.95701  (not concave)
Iteration 872: log pseudolikelihood = -309.95678  (not concave)
Iteration 873: log pseudolikelihood = -309.95655  (not concave)
Iteration 874: log pseudolikelihood = -309.95631  (not concave)
Iteration 875: log pseudolikelihood = -309.95608  (not concave)
Iteration 876: log pseudolikelihood = -309.95585  (not concave)
Iteration 877: log pseudolikelihood = -309.95561  (not concave)
Iteration 878: log pseudolikelihood = -309.95538  (not concave)
Iteration 879: log pseudolikelihood = -309.95515  (not concave)
Iteration 880: log pseudolikelihood = -309.95492  (not concave)
Iteration 881: log pseudolikelihood = -309.95468  (not concave)
Iteration 882: log pseudolikelihood = -309.95445  (not concave)
Iteration 883: log pseudolikelihood = -309.95422  (not concave)
Iteration 884: log pseudolikelihood = -309.95399  (not concave)
Iteration 885: log pseudolikelihood = -309.95376  (not concave)
Iteration 886: log pseudolikelihood = -309.95353  (not concave)
Iteration 887: log pseudolikelihood =  -309.9533  (not concave)
Iteration 888: log pseudolikelihood = -309.95306  (not concave)
Iteration 889: log pseudolikelihood = -309.95283  (not concave)
Iteration 890: log pseudolikelihood =  -309.9526  (not concave)
Iteration 891: log pseudolikelihood = -309.95237  (not concave)
Iteration 892: log pseudolikelihood = -309.95214  (not concave)
Iteration 893: log pseudolikelihood = -309.95191  (not concave)
Iteration 894: log pseudolikelihood = -309.95168  (not concave)
Iteration 895: log pseudolikelihood = -309.95145  (not concave)
Iteration 896: log pseudolikelihood = -309.95122  (not concave)
Iteration 897: log pseudolikelihood = -309.95099  (not concave)
Iteration 898: log pseudolikelihood = -309.95076  (not concave)
Iteration 899: log pseudolikelihood = -309.95054  (not concave)
Iteration 900: log pseudolikelihood = -309.95031  (not concave)
Iteration 901: log pseudolikelihood = -309.95008  (not concave)
Iteration 902: log pseudolikelihood = -309.94985  (not concave)
Iteration 903: log pseudolikelihood = -309.94962  (not concave)
Iteration 904: log pseudolikelihood = -309.94939  (not concave)
Iteration 905: log pseudolikelihood = -309.94917  (not concave)
Iteration 906: log pseudolikelihood = -309.94894  (not concave)
Iteration 907: log pseudolikelihood = -309.94871  (not concave)
Iteration 908: log pseudolikelihood = -309.94848  (not concave)
Iteration 909: log pseudolikelihood = -309.94826  (not concave)
Iteration 910: log pseudolikelihood = -309.94803  (not concave)
Iteration 911: log pseudolikelihood =  -309.9478  (not concave)
Iteration 912: log pseudolikelihood = -309.94757  (not concave)
Iteration 913: log pseudolikelihood = -309.94735  (not concave)
Iteration 914: log pseudolikelihood = -309.94712  (not concave)
Iteration 915: log pseudolikelihood =  -309.9469  (not concave)
Iteration 916: log pseudolikelihood = -309.94667  (not concave)
Iteration 917: log pseudolikelihood = -309.94644  (not concave)
Iteration 918: log pseudolikelihood = -309.94622  (not concave)
Iteration 919: log pseudolikelihood = -309.94599  (not concave)
Iteration 920: log pseudolikelihood = -309.94577  (not concave)
Iteration 921: log pseudolikelihood = -309.94554  (not concave)
Iteration 922: log pseudolikelihood = -309.94532  (not concave)
Iteration 923: log pseudolikelihood = -309.94509  (not concave)
Iteration 924: log pseudolikelihood = -309.94487  (not concave)
Iteration 925: log pseudolikelihood = -309.94464  (not concave)
Iteration 926: log pseudolikelihood = -309.94442  (not concave)
Iteration 927: log pseudolikelihood = -309.94419  (not concave)
Iteration 928: log pseudolikelihood = -309.94397  (not concave)
Iteration 929: log pseudolikelihood = -309.94375  (not concave)
Iteration 930: log pseudolikelihood = -309.94352  (not concave)
Iteration 931: log pseudolikelihood =  -309.9433  (not concave)
Iteration 932: log pseudolikelihood = -309.94308  (not concave)
Iteration 933: log pseudolikelihood = -309.94285  (not concave)
Iteration 934: log pseudolikelihood = -309.94263  (not concave)
Iteration 935: log pseudolikelihood = -309.94241  (not concave)
Iteration 936: log pseudolikelihood = -309.94218  (not concave)
Iteration 937: log pseudolikelihood = -309.94196  (not concave)
Iteration 938: log pseudolikelihood = -309.94174  (not concave)
Iteration 939: log pseudolikelihood = -309.94152  (not concave)
Iteration 940: log pseudolikelihood = -309.94129  (not concave)
Iteration 941: log pseudolikelihood = -309.94107  (not concave)
Iteration 942: log pseudolikelihood = -309.94085  (not concave)
Iteration 943: log pseudolikelihood = -309.94063  (not concave)
Iteration 944: log pseudolikelihood = -309.94041  (not concave)
Iteration 945: log pseudolikelihood = -309.94019  (not concave)
Iteration 946: log pseudolikelihood = -309.93997  (not concave)
Iteration 947: log pseudolikelihood = -309.93975  (not concave)
Iteration 948: log pseudolikelihood = -309.93952  (not concave)
Iteration 949: log pseudolikelihood =  -309.9393  (not concave)
Iteration 950: log pseudolikelihood = -309.93908  (not concave)
Iteration 951: log pseudolikelihood = -309.93886  (not concave)
Iteration 952: log pseudolikelihood = -309.93864  (not concave)
Iteration 953: log pseudolikelihood = -309.93842  (not concave)
Iteration 954: log pseudolikelihood =  -309.9382  (not concave)
Iteration 955: log pseudolikelihood = -309.93798  (not concave)
Iteration 956: log pseudolikelihood = -309.93776  (not concave)
Iteration 957: log pseudolikelihood = -309.93755  (not concave)
Iteration 958: log pseudolikelihood = -309.93733  (not concave)
Iteration 959: log pseudolikelihood = -309.93711  (not concave)
Iteration 960: log pseudolikelihood = -309.93689  (not concave)
Iteration 961: log pseudolikelihood = -309.93667  (not concave)
Iteration 962: log pseudolikelihood = -309.93645  (not concave)
Iteration 963: log pseudolikelihood = -309.93623  (not concave)
Iteration 964: log pseudolikelihood = -309.93602  (not concave)
Iteration 965: log pseudolikelihood =  -309.9358  (not concave)
Iteration 966: log pseudolikelihood = -309.93558  (not concave)
Iteration 967: log pseudolikelihood = -309.93536  (not concave)
Iteration 968: log pseudolikelihood = -309.93514  (not concave)
Iteration 969: log pseudolikelihood = -309.93493  (not concave)
Iteration 970: log pseudolikelihood = -309.93471  (not concave)
Iteration 971: log pseudolikelihood = -309.93449  (not concave)
Iteration 972: log pseudolikelihood = -309.93428  (not concave)
Iteration 973: log pseudolikelihood = -309.93406  (not concave)
Iteration 974: log pseudolikelihood = -309.93384  (not concave)
Iteration 975: log pseudolikelihood = -309.93363  (not concave)
Iteration 976: log pseudolikelihood = -309.93341  (not concave)
Iteration 977: log pseudolikelihood = -309.93319  (not concave)
Iteration 978: log pseudolikelihood = -309.93298  (not concave)
Iteration 979: log pseudolikelihood = -309.93276  (not concave)
Iteration 980: log pseudolikelihood = -309.93255  (not concave)
Iteration 981: log pseudolikelihood = -309.93233  (not concave)
Iteration 982: log pseudolikelihood = -309.93212  (not concave)
Iteration 983: log pseudolikelihood =  -309.9319  (not concave)
Iteration 984: log pseudolikelihood = -309.93169  (not concave)
Iteration 985: log pseudolikelihood = -309.93147  (not concave)
Iteration 986: log pseudolikelihood = -309.93126  (not concave)
Iteration 987: log pseudolikelihood = -309.93104  (not concave)
Iteration 988: log pseudolikelihood = -309.93083  (not concave)
Iteration 989: log pseudolikelihood = -309.93061  (not concave)
Iteration 990: log pseudolikelihood =  -309.9304  (not concave)
Iteration 991: log pseudolikelihood = -309.93019  (not concave)
Iteration 992: log pseudolikelihood = -309.92997  (not concave)
Iteration 993: log pseudolikelihood = -309.92976  (not concave)
Iteration 994: log pseudolikelihood = -309.92955  (not concave)
Iteration 995: log pseudolikelihood = -309.92933  (not concave)
Iteration 996: log pseudolikelihood = -309.92912  (not concave)
Iteration 997: log pseudolikelihood = -309.92891  (not concave)
Iteration 998: log pseudolikelihood = -309.92869  (not concave)
Iteration 999: log pseudolikelihood = -309.92848  (not concave)
Iteration 1000: log pseudolikelihood = -309.92827  (not concave)
Iteration 1001: log pseudolikelihood = -309.92806  (not concave)
Iteration 1002: log pseudolikelihood = -309.92784  (not concave)
Iteration 1003: log pseudolikelihood = -309.92763  (not concave)
Iteration 1004: log pseudolikelihood = -309.92742  (not concave)
Iteration 1005: log pseudolikelihood = -309.92721  (not concave)
Iteration 1006: log pseudolikelihood =   -309.927  (not concave)
Iteration 1007: log pseudolikelihood = -309.92678  (not concave)
Iteration 1008: log pseudolikelihood = -309.92657  (not concave)
Iteration 1009: log pseudolikelihood = -309.92636  (not concave)
Iteration 1010: log pseudolikelihood = -309.92615  (not concave)
Iteration 1011: log pseudolikelihood = -309.92594  (not concave)
Iteration 1012: log pseudolikelihood = -309.92573  (not concave)
Iteration 1013: log pseudolikelihood = -309.92552  (not concave)
Iteration 1014: log pseudolikelihood = -309.92531  (not concave)
Iteration 1015: log pseudolikelihood =  -309.9251  (not concave)
Iteration 1016: log pseudolikelihood = -309.92489  (not concave)
Iteration 1017: log pseudolikelihood = -309.92468  (not concave)
Iteration 1018: log pseudolikelihood = -309.92447  (not concave)
Iteration 1019: log pseudolikelihood = -309.92426  (not concave)
Iteration 1020: log pseudolikelihood = -309.92405  (not concave)
Iteration 1021: log pseudolikelihood = -309.92384  (not concave)
Iteration 1022: log pseudolikelihood = -309.92363  (not concave)
Iteration 1023: log pseudolikelihood = -309.92342  (not concave)
Iteration 1024: log pseudolikelihood = -309.92321  (not concave)
Iteration 1025: log pseudolikelihood =   -309.923  (not concave)
Iteration 1026: log pseudolikelihood =  -309.9228  (not concave)
Iteration 1027: log pseudolikelihood = -309.92259  (not concave)
Iteration 1028: log pseudolikelihood = -309.92238  (not concave)
Iteration 1029: log pseudolikelihood = -309.92217  (not concave)
Iteration 1030: log pseudolikelihood = -309.92196  (not concave)
Iteration 1031: log pseudolikelihood = -309.92175  (not concave)
Iteration 1032: log pseudolikelihood = -309.92155  (not concave)
Iteration 1033: log pseudolikelihood = -309.92134  (not concave)
Iteration 1034: log pseudolikelihood = -309.92113  (not concave)
Iteration 1035: log pseudolikelihood = -309.92092  (not concave)
Iteration 1036: log pseudolikelihood = -309.92072  (not concave)
Iteration 1037: log pseudolikelihood = -309.92051  (not concave)
Iteration 1038: log pseudolikelihood =  -309.9203  (not concave)
Iteration 1039: log pseudolikelihood =  -309.9201  (not concave)
Iteration 1040: log pseudolikelihood = -309.91989  (not concave)
Iteration 1041: log pseudolikelihood = -309.91968  (not concave)
Iteration 1042: log pseudolikelihood = -309.91948  (not concave)
Iteration 1043: log pseudolikelihood = -309.91927  (not concave)
Iteration 1044: log pseudolikelihood = -309.91907  (not concave)
Iteration 1045: log pseudolikelihood = -309.91886  (not concave)
Iteration 1046: log pseudolikelihood = -309.91865  (not concave)
Iteration 1047: log pseudolikelihood = -309.91845  (not concave)
Iteration 1048: log pseudolikelihood = -309.91824  (not concave)
Iteration 1049: log pseudolikelihood = -309.91804  (not concave)
Iteration 1050: log pseudolikelihood = -309.91783  (not concave)
Iteration 1051: log pseudolikelihood = -309.91763  (not concave)
Iteration 1052: log pseudolikelihood = -309.91742  (not concave)
Iteration 1053: log pseudolikelihood = -309.91722  (not concave)
Iteration 1054: log pseudolikelihood = -309.91701  (not concave)
Iteration 1055: log pseudolikelihood = -309.91681  (not concave)
Iteration 1056: log pseudolikelihood =  -309.9166  (not concave)
Iteration 1057: log pseudolikelihood =  -309.9164  (not concave)
Iteration 1058: log pseudolikelihood =  -309.9162  (not concave)
Iteration 1059: log pseudolikelihood = -309.91599  (not concave)
Iteration 1060: log pseudolikelihood = -309.91579  (not concave)
Iteration 1061: log pseudolikelihood = -309.91558  (not concave)
Iteration 1062: log pseudolikelihood = -309.91538  (not concave)
Iteration 1063: log pseudolikelihood = -309.91518  (not concave)
Iteration 1064: log pseudolikelihood = -309.91497  (not concave)
Iteration 1065: log pseudolikelihood = -309.91477  (not concave)
Iteration 1066: log pseudolikelihood = -309.91457  (not concave)
Iteration 1067: log pseudolikelihood = -309.91437  (not concave)
Iteration 1068: log pseudolikelihood = -309.91416  (not concave)
Iteration 1069: log pseudolikelihood = -309.91396  (not concave)
Iteration 1070: log pseudolikelihood = -309.91376  (not concave)
Iteration 1071: log pseudolikelihood = -309.91356  (not concave)
Iteration 1072: log pseudolikelihood = -309.91335  (not concave)
Iteration 1073: log pseudolikelihood = -309.91315  (not concave)
Iteration 1074: log pseudolikelihood = -309.91295  (not concave)
Iteration 1075: log pseudolikelihood = -309.91275  (not concave)
Iteration 1076: log pseudolikelihood = -309.91255  (not concave)
Iteration 1077: log pseudolikelihood = -309.91235  (not concave)
Iteration 1078: log pseudolikelihood = -309.91214  (not concave)
Iteration 1079: log pseudolikelihood = -309.91194  (not concave)
Iteration 1080: log pseudolikelihood = -309.91174  (not concave)
Iteration 1081: log pseudolikelihood = -309.91154  (not concave)
Iteration 1082: log pseudolikelihood = -309.91134  (not concave)
Iteration 1083: log pseudolikelihood = -309.91114  (not concave)
Iteration 1084: log pseudolikelihood = -309.91094  (not concave)
Iteration 1085: log pseudolikelihood = -309.91074  (not concave)
Iteration 1086: log pseudolikelihood = -309.91054  (not concave)
Iteration 1087: log pseudolikelihood = -309.91034  (not concave)
Iteration 1088: log pseudolikelihood = -309.91014  (not concave)
Iteration 1089: log pseudolikelihood = -309.90994  (not concave)
Iteration 1090: log pseudolikelihood = -309.90974  (not concave)
Iteration 1091: log pseudolikelihood = -309.90954  (not concave)
Iteration 1092: log pseudolikelihood = -309.90934  (not concave)
Iteration 1093: log pseudolikelihood = -309.90914  (not concave)
Iteration 1094: log pseudolikelihood = -309.90894  (not concave)
Iteration 1095: log pseudolikelihood = -309.90874  (not concave)
Iteration 1096: log pseudolikelihood = -309.90854  (not concave)
Iteration 1097: log pseudolikelihood = -309.90835  (not concave)
Iteration 1098: log pseudolikelihood = -309.90815  (not concave)
Iteration 1099: log pseudolikelihood = -309.90795  (not concave)
Iteration 1100: log pseudolikelihood = -309.90775  (not concave)
Iteration 1101: log pseudolikelihood = -309.90755  (not concave)
Iteration 1102: log pseudolikelihood = -309.90735  (not concave)
Iteration 1103: log pseudolikelihood = -309.90716  (not concave)
Iteration 1104: log pseudolikelihood = -309.90696  (not concave)
Iteration 1105: log pseudolikelihood = -309.90676  (not concave)
Iteration 1106: log pseudolikelihood = -309.90656  (not concave)
Iteration 1107: log pseudolikelihood = -309.90637  (not concave)
Iteration 1108: log pseudolikelihood = -309.90617  (not concave)
Iteration 1109: log pseudolikelihood = -309.90597  (not concave)
Iteration 1110: log pseudolikelihood = -309.90577  (not concave)
Iteration 1111: log pseudolikelihood = -309.90558  (not concave)
Iteration 1112: log pseudolikelihood = -309.90538  (not concave)
Iteration 1113: log pseudolikelihood = -309.90518  (not concave)
Iteration 1114: log pseudolikelihood = -309.90499  (not concave)
Iteration 1115: log pseudolikelihood = -309.90479  (not concave)
Iteration 1116: log pseudolikelihood = -309.90459  (not concave)
Iteration 1117: log pseudolikelihood =  -309.9044  (not concave)
Iteration 1118: log pseudolikelihood =  -309.9042  (not concave)
Iteration 1119: log pseudolikelihood = -309.90401  (not concave)
Iteration 1120: log pseudolikelihood = -309.90381  (not concave)
Iteration 1121: log pseudolikelihood = -309.90362  (not concave)
Iteration 1122: log pseudolikelihood = -309.90342  (not concave)
Iteration 1123: log pseudolikelihood = -309.90322  (not concave)
Iteration 1124: log pseudolikelihood = -309.90303  (not concave)
Iteration 1125: log pseudolikelihood = -309.90283  (not concave)
Iteration 1126: log pseudolikelihood = -309.90264  (not concave)
Iteration 1127: log pseudolikelihood = -309.90244  (not concave)
Iteration 1128: log pseudolikelihood = -309.90225  (not concave)
Iteration 1129: log pseudolikelihood = -309.90205  (not concave)
Iteration 1130: log pseudolikelihood = -309.90186  (not concave)
Iteration 1131: log pseudolikelihood = -309.90167  (not concave)
Iteration 1132: log pseudolikelihood = -309.90147  (not concave)
Iteration 1133: log pseudolikelihood = -309.90128  (not concave)
Iteration 1134: log pseudolikelihood = -309.90108  (not concave)
Iteration 1135: log pseudolikelihood = -309.90089  (not concave)
Iteration 1136: log pseudolikelihood =  -309.9007  (not concave)
Iteration 1137: log pseudolikelihood =  -309.9005  (not concave)
Iteration 1138: log pseudolikelihood = -309.90031  (not concave)
Iteration 1139: log pseudolikelihood = -309.90012  
Iteration 1140: log pseudolikelihood = -309.71432  (backed up)
Iteration 1141: log pseudolikelihood = -309.55355  
Iteration 1142: log pseudolikelihood =  -309.4279  
Iteration 1143: log pseudolikelihood = -309.39389  
Iteration 1144: log pseudolikelihood = -309.39145  
Iteration 1145: log pseudolikelihood = -309.39144  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      22.61
Log pseudolikelihood = -309.39144               Prob > chi2       =     0.0466

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   6.336348   5.527182     1.15   0.252    -4.496728    17.16943
     capcheither20 |   7.978982   6.101321     1.31   0.191    -3.979388    19.93735
   regchangeeither |   1.923827   1.834612     1.05   0.294    -1.671946    5.519599
      chTEAltorBmt |   2.075033   1.832818     1.13   0.258    -1.517224     5.66729
           alformA |   7.246147   5.503673     1.32   0.188    -3.540853    18.03315
             demdA |   1.472112   1.729624     0.85   0.395    -1.917888    4.862112
         asymmetry |  -.8792211   1.196177    -0.74   0.462    -3.223685    1.465243
          nomicoop |  -2.252614   1.197738    -1.88   0.060    -4.600137    .0949095
            treaty |  -.0024107   1.677104    -0.00   0.999    -3.289475    3.284654
           milinst |   7.745592   4.633616     1.67   0.095    -1.336129    16.82731
              time |   -.083796   .2902904    -0.29   0.773    -.6527547    .4851627
        timesquare |  -.0095647   .0120419    -0.79   0.427    -.0331663     .014037
          timecube |   .0001656     .00016     1.04   0.301    -.0001479    .0004791
             _cons |  -7.217757   6.520583    -1.11   0.268    -19.99786    5.562351
-------------------+----------------------------------------------------------------
G                  |
    TerrThreatAvg1 |   .5209551   .1425246     3.66   0.000     .2416121    .8002982
num_dems_on_border |  -.3078828   .1168577    -2.63   0.008    -.5369197   -.0788458
       num_borders |   .1320402   .0503013     2.62   0.009     .0334514    .2306289
           coldwar |   .3382991   .2731392     1.24   0.216    -.1970439    .8736421
       Lenergy_pop |  -.1645768   .0760156    -2.17   0.030    -.3135647   -.0155889
           Oil_exp |   .4616755   .3691629     1.25   0.211    -.2618705    1.185222
           maj_pow |   .1948307   .3972527     0.49   0.624    -.5837703    .9734318
         kgd_rival |   .2881129   .3838398     0.75   0.453    -.4641994    1.040425
             _cons |  -4.806685   .4037228   -11.91   0.000    -5.597967   -4.015403
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -551.10628
rescale:       log pseudolikelihood = -339.16749
rescale eq:    log pseudolikelihood = -339.16749

initial:       log pseudolikelihood = -339.16749
rescale:       log pseudolikelihood = -339.16749
rescale eq:    log pseudolikelihood = -339.16749
Iteration 0:   log pseudolikelihood = -339.16749  
Iteration 1:   log pseudolikelihood =  -321.3429  (not concave)
Iteration 2:   log pseudolikelihood = -320.73975  (not concave)
Iteration 3:   log pseudolikelihood =  -320.4657  (not concave)
Iteration 4:   log pseudolikelihood =  -320.2625  (not concave)
Iteration 5:   log pseudolikelihood = -320.08427  (not concave)
Iteration 6:   log pseudolikelihood = -319.81518  (not concave)
Iteration 7:   log pseudolikelihood = -319.56685  (not concave)
Iteration 8:   log pseudolikelihood = -319.32902  (not concave)
Iteration 9:   log pseudolikelihood = -319.15162  (not concave)
Iteration 10:  log pseudolikelihood = -319.04737  (not concave)
Iteration 11:  log pseudolikelihood = -318.91678  (not concave)
Iteration 12:  log pseudolikelihood = -318.83458  (not concave)
Iteration 13:  log pseudolikelihood = -318.75106  (not concave)
Iteration 14:  log pseudolikelihood = -318.12333  (not concave)
Iteration 15:  log pseudolikelihood =   -317.648  (not concave)
Iteration 16:  log pseudolikelihood = -317.45833  (not concave)
Iteration 17:  log pseudolikelihood = -317.27771  (not concave)
Iteration 18:  log pseudolikelihood = -316.52298  
Iteration 19:  log pseudolikelihood = -312.31724  
Iteration 20:  log pseudolikelihood = -309.93903  (not concave)
Iteration 21:  log pseudolikelihood = -309.89344  (not concave)
Iteration 22:  log pseudolikelihood = -309.85333  (not concave)
Iteration 23:  log pseudolikelihood = -309.84297  (not concave)
Iteration 24:  log pseudolikelihood = -309.84039  (not concave)
Iteration 25:  log pseudolikelihood = -309.83717  (not concave)
Iteration 26:  log pseudolikelihood = -309.83383  (not concave)
Iteration 27:  log pseudolikelihood = -309.83163  (not concave)
Iteration 28:  log pseudolikelihood = -309.82926  (not concave)
Iteration 29:  log pseudolikelihood = -309.82783  (not concave)
Iteration 30:  log pseudolikelihood = -309.82646  (not concave)
Iteration 31:  log pseudolikelihood = -309.82398  (not concave)
Iteration 32:  log pseudolikelihood = -309.82206  (not concave)
Iteration 33:  log pseudolikelihood = -309.82049  (not concave)
Iteration 34:  log pseudolikelihood = -309.81904  (not concave)
Iteration 35:  log pseudolikelihood = -309.81444  (not concave)
Iteration 36:  log pseudolikelihood = -309.81019  (not concave)
Iteration 37:  log pseudolikelihood = -309.80805  (not concave)
Iteration 38:  log pseudolikelihood =  -309.8067  (not concave)
Iteration 39:  log pseudolikelihood = -309.80574  (not concave)
Iteration 40:  log pseudolikelihood =  -309.8048  (not concave)
Iteration 41:  log pseudolikelihood = -309.80288  (not concave)
Iteration 42:  log pseudolikelihood = -309.80169  (not concave)
Iteration 43:  log pseudolikelihood = -309.80076  (not concave)
Iteration 44:  log pseudolikelihood = -309.79987  (not concave)
Iteration 45:  log pseudolikelihood = -309.79891  (not concave)
Iteration 46:  log pseudolikelihood = -309.79732  (not concave)
Iteration 47:  log pseudolikelihood = -309.79564  (not concave)
Iteration 48:  log pseudolikelihood = -309.79467  (not concave)
Iteration 49:  log pseudolikelihood = -309.79378  (not concave)
Iteration 50:  log pseudolikelihood = -309.79257  (not concave)
Iteration 51:  log pseudolikelihood = -309.79116  (not concave)
Iteration 52:  log pseudolikelihood = -309.79039  (not concave)
Iteration 53:  log pseudolikelihood = -309.78949  (not concave)
Iteration 54:  log pseudolikelihood = -309.78864  (not concave)
Iteration 55:  log pseudolikelihood = -309.78693  (not concave)
Iteration 56:  log pseudolikelihood = -309.78583  (not concave)
Iteration 57:  log pseudolikelihood = -309.78503  (not concave)
Iteration 58:  log pseudolikelihood = -309.78426  (not concave)
Iteration 59:  log pseudolikelihood = -309.78282  (not concave)
Iteration 60:  log pseudolikelihood = -309.78169  (not concave)
Iteration 61:  log pseudolikelihood = -309.78066  (not concave)
Iteration 62:  log pseudolikelihood = -309.77979  (not concave)
Iteration 63:  log pseudolikelihood = -309.77887  (not concave)
Iteration 64:  log pseudolikelihood = -309.77811  (not concave)
Iteration 65:  log pseudolikelihood = -309.77737  (not concave)
Iteration 66:  log pseudolikelihood = -309.77659  (not concave)
Iteration 67:  log pseudolikelihood = -309.77526  (not concave)
Iteration 68:  log pseudolikelihood = -309.77297  (not concave)
Iteration 69:  log pseudolikelihood = -309.77102  (not concave)
Iteration 70:  log pseudolikelihood = -309.76425  (not concave)
Iteration 71:  log pseudolikelihood = -309.75882  (not concave)
Iteration 72:  log pseudolikelihood = -309.75413  (not concave)
Iteration 73:  log pseudolikelihood = -309.75024  (not concave)
Iteration 74:  log pseudolikelihood = -309.68527  (not concave)
Iteration 75:  log pseudolikelihood = -309.61701  (not concave)
Iteration 76:  log pseudolikelihood = -309.60456  (not concave)
Iteration 77:  log pseudolikelihood = -309.60173  (not concave)
Iteration 78:  log pseudolikelihood = -309.60052  (not concave)
Iteration 79:  log pseudolikelihood = -309.59997  (not concave)
Iteration 80:  log pseudolikelihood = -309.59959  (not concave)
Iteration 81:  log pseudolikelihood = -309.59921  (not concave)
Iteration 82:  log pseudolikelihood = -309.59857  (not concave)
Iteration 83:  log pseudolikelihood = -309.59802  (not concave)
Iteration 84:  log pseudolikelihood = -309.59694  (not concave)
Iteration 85:  log pseudolikelihood = -309.59624  (not concave)
Iteration 86:  log pseudolikelihood = -309.59589  (not concave)
Iteration 87:  log pseudolikelihood = -309.59553  (not concave)
Iteration 88:  log pseudolikelihood = -309.59491  (not concave)
Iteration 89:  log pseudolikelihood = -309.59389  (not concave)
Iteration 90:  log pseudolikelihood = -309.59296  (not concave)
Iteration 91:  log pseudolikelihood = -309.58546  (not concave)
Iteration 92:  log pseudolikelihood =  -309.5817  (not concave)
Iteration 93:  log pseudolikelihood =  -309.5813  (not concave)
Iteration 94:  log pseudolikelihood = -309.58077  (not concave)
Iteration 95:  log pseudolikelihood =  -309.5801  (not concave)
Iteration 96:  log pseudolikelihood =  -309.5798  (not concave)
Iteration 97:  log pseudolikelihood =  -309.5795  (not concave)
Iteration 98:  log pseudolikelihood =  -309.5792  (not concave)
Iteration 99:  log pseudolikelihood =  -309.5789  (not concave)
Iteration 100: log pseudolikelihood =  -309.5786  (not concave)
Iteration 101: log pseudolikelihood =  -309.5783  (not concave)
Iteration 102: log pseudolikelihood = -309.57801  (not concave)
Iteration 103: log pseudolikelihood = -309.57771  (not concave)
Iteration 104: log pseudolikelihood = -309.57741  (not concave)
Iteration 105: log pseudolikelihood = -309.57712  (not concave)
Iteration 106: log pseudolikelihood = -309.57682  (not concave)
Iteration 107: log pseudolikelihood = -309.57653  (not concave)
Iteration 108: log pseudolikelihood = -309.57624  (not concave)
Iteration 109: log pseudolikelihood = -309.57594  (not concave)
Iteration 110: log pseudolikelihood = -309.57565  (not concave)
Iteration 111: log pseudolikelihood = -309.57536  (not concave)
Iteration 112: log pseudolikelihood = -309.57507  (not concave)
Iteration 113: log pseudolikelihood = -309.57477  (not concave)
Iteration 114: log pseudolikelihood = -309.57448  (not concave)
Iteration 115: log pseudolikelihood = -309.57419  (not concave)
Iteration 116: log pseudolikelihood =  -309.5739  (not concave)
Iteration 117: log pseudolikelihood = -309.57362  (not concave)
Iteration 118: log pseudolikelihood = -309.57333  (not concave)
Iteration 119: log pseudolikelihood = -309.57304  (not concave)
Iteration 120: log pseudolikelihood = -309.57275  (not concave)
Iteration 121: log pseudolikelihood = -309.57246  (not concave)
Iteration 122: log pseudolikelihood = -309.57218  (not concave)
Iteration 123: log pseudolikelihood = -309.57189  (not concave)
Iteration 124: log pseudolikelihood =  -309.5716  (not concave)
Iteration 125: log pseudolikelihood = -309.57132  (not concave)
Iteration 126: log pseudolikelihood = -309.57103  (not concave)
Iteration 127: log pseudolikelihood = -309.57075  (not concave)
Iteration 128: log pseudolikelihood = -309.57046  (not concave)
Iteration 129: log pseudolikelihood = -309.57018  (not concave)
Iteration 130: log pseudolikelihood =  -309.5699  (not concave)
Iteration 131: log pseudolikelihood = -309.56961  (not concave)
Iteration 132: log pseudolikelihood = -309.56933  (not concave)
Iteration 133: log pseudolikelihood = -309.56905  (not concave)
Iteration 134: log pseudolikelihood = -309.56877  (not concave)
Iteration 135: log pseudolikelihood = -309.56849  (not concave)
Iteration 136: log pseudolikelihood = -309.56821  (not concave)
Iteration 137: log pseudolikelihood = -309.56793  (not concave)
Iteration 138: log pseudolikelihood = -309.56765  (not concave)
Iteration 139: log pseudolikelihood = -309.56737  (not concave)
Iteration 140: log pseudolikelihood = -309.56709  (not concave)
Iteration 141: log pseudolikelihood = -309.56681  (not concave)
Iteration 142: log pseudolikelihood = -309.56653  (not concave)
Iteration 143: log pseudolikelihood = -309.56625  (not concave)
Iteration 144: log pseudolikelihood = -309.56597  (not concave)
Iteration 145: log pseudolikelihood =  -309.5657  (not concave)
Iteration 146: log pseudolikelihood = -309.56542  (not concave)
Iteration 147: log pseudolikelihood = -309.56514  (not concave)
Iteration 148: log pseudolikelihood = -309.56487  (not concave)
Iteration 149: log pseudolikelihood = -309.56459  (not concave)
Iteration 150: log pseudolikelihood = -309.56431  (not concave)
Iteration 151: log pseudolikelihood = -309.56404  (not concave)
Iteration 152: log pseudolikelihood = -309.56376  (not concave)
Iteration 153: log pseudolikelihood = -309.56349  (not concave)
Iteration 154: log pseudolikelihood = -309.56321  (not concave)
Iteration 155: log pseudolikelihood = -309.56294  (not concave)
Iteration 156: log pseudolikelihood = -309.56267  (not concave)
Iteration 157: log pseudolikelihood = -309.56239  (not concave)
Iteration 158: log pseudolikelihood = -309.56212  (not concave)
Iteration 159: log pseudolikelihood = -309.56185  (not concave)
Iteration 160: log pseudolikelihood = -309.56157  (not concave)
Iteration 161: log pseudolikelihood =  -309.5613  (not concave)
Iteration 162: log pseudolikelihood = -309.56103  (not concave)
Iteration 163: log pseudolikelihood = -309.56076  (not concave)
Iteration 164: log pseudolikelihood = -309.56049  (not concave)
Iteration 165: log pseudolikelihood = -309.56022  (not concave)
Iteration 166: log pseudolikelihood = -309.55995  (not concave)
Iteration 167: log pseudolikelihood = -309.55968  (not concave)
Iteration 168: log pseudolikelihood =  -309.5594  (not concave)
Iteration 169: log pseudolikelihood = -309.55914  (not concave)
Iteration 170: log pseudolikelihood = -309.55887  (not concave)
Iteration 171: log pseudolikelihood =  -309.5586  (not concave)
Iteration 172: log pseudolikelihood = -309.55833  (not concave)
Iteration 173: log pseudolikelihood = -309.55806  (not concave)
Iteration 174: log pseudolikelihood = -309.55779  (not concave)
Iteration 175: log pseudolikelihood = -309.55752  (not concave)
Iteration 176: log pseudolikelihood = -309.55725  (not concave)
Iteration 177: log pseudolikelihood = -309.55699  (not concave)
Iteration 178: log pseudolikelihood = -309.55672  (not concave)
Iteration 179: log pseudolikelihood = -309.55645  (not concave)
Iteration 180: log pseudolikelihood = -309.55619  (not concave)
Iteration 181: log pseudolikelihood = -309.55592  (not concave)
Iteration 182: log pseudolikelihood = -309.55565  (not concave)
Iteration 183: log pseudolikelihood = -309.55539  (not concave)
Iteration 184: log pseudolikelihood = -309.55512  (not concave)
Iteration 185: log pseudolikelihood = -309.55485  (not concave)
Iteration 186: log pseudolikelihood = -309.55459  (not concave)
Iteration 187: log pseudolikelihood = -309.55432  (not concave)
Iteration 188: log pseudolikelihood = -309.55406  (not concave)
Iteration 189: log pseudolikelihood = -309.55379  (not concave)
Iteration 190: log pseudolikelihood = -309.55353  (not concave)
Iteration 191: log pseudolikelihood = -309.55327  (not concave)
Iteration 192: log pseudolikelihood =   -309.553  (not concave)
Iteration 193: log pseudolikelihood = -309.55274  (not concave)
Iteration 194: log pseudolikelihood = -309.55248  (not concave)
Iteration 195: log pseudolikelihood = -309.55221  (not concave)
Iteration 196: log pseudolikelihood = -309.55195  (not concave)
Iteration 197: log pseudolikelihood = -309.55169  (not concave)
Iteration 198: log pseudolikelihood = -309.55142  (not concave)
Iteration 199: log pseudolikelihood = -309.55116  (not concave)
Iteration 200: log pseudolikelihood =  -309.5509  (not concave)
Iteration 201: log pseudolikelihood = -309.55064  (not concave)
Iteration 202: log pseudolikelihood = -309.55038  (not concave)
Iteration 203: log pseudolikelihood = -309.55011  (not concave)
Iteration 204: log pseudolikelihood = -309.54985  (not concave)
Iteration 205: log pseudolikelihood = -309.54959  (not concave)
Iteration 206: log pseudolikelihood = -309.54933  (not concave)
Iteration 207: log pseudolikelihood = -309.54907  (not concave)
Iteration 208: log pseudolikelihood = -309.54881  (not concave)
Iteration 209: log pseudolikelihood = -309.54855  (not concave)
Iteration 210: log pseudolikelihood = -309.54829  (not concave)
Iteration 211: log pseudolikelihood = -309.54803  (not concave)
Iteration 212: log pseudolikelihood = -309.54777  (not concave)
Iteration 213: log pseudolikelihood = -309.54751  (not concave)
Iteration 214: log pseudolikelihood = -309.54725  (not concave)
Iteration 215: log pseudolikelihood = -309.54699  (not concave)
Iteration 216: log pseudolikelihood = -309.54673  (not concave)
Iteration 217: log pseudolikelihood = -309.54648  (not concave)
Iteration 218: log pseudolikelihood = -309.54622  (not concave)
Iteration 219: log pseudolikelihood = -309.54596  (not concave)
Iteration 220: log pseudolikelihood =  -309.5457  (not concave)
Iteration 221: log pseudolikelihood = -309.54544  (not concave)
Iteration 222: log pseudolikelihood = -309.54519  (not concave)
Iteration 223: log pseudolikelihood = -309.54493  (not concave)
Iteration 224: log pseudolikelihood = -309.54467  (not concave)
Iteration 225: log pseudolikelihood = -309.54441  (not concave)
Iteration 226: log pseudolikelihood = -309.54416  (not concave)
Iteration 227: log pseudolikelihood =  -309.5439  (not concave)
Iteration 228: log pseudolikelihood = -309.54364  (not concave)
Iteration 229: log pseudolikelihood = -309.54339  (not concave)
Iteration 230: log pseudolikelihood = -309.54313  (not concave)
Iteration 231: log pseudolikelihood = -309.54288  (not concave)
Iteration 232: log pseudolikelihood = -309.54262  (not concave)
Iteration 233: log pseudolikelihood = -309.54236  (not concave)
Iteration 234: log pseudolikelihood = -309.54211  (not concave)
Iteration 235: log pseudolikelihood = -309.54185  (not concave)
Iteration 236: log pseudolikelihood =  -309.5416  (not concave)
Iteration 237: log pseudolikelihood = -309.54134  (not concave)
Iteration 238: log pseudolikelihood = -309.54109  (not concave)
Iteration 239: log pseudolikelihood = -309.54083  (not concave)
Iteration 240: log pseudolikelihood = -309.54058  (not concave)
Iteration 241: log pseudolikelihood = -309.54033  (not concave)
Iteration 242: log pseudolikelihood = -309.54007  (not concave)
Iteration 243: log pseudolikelihood = -309.53982  (not concave)
Iteration 244: log pseudolikelihood = -309.53956  (not concave)
Iteration 245: log pseudolikelihood = -309.53931  (not concave)
Iteration 246: log pseudolikelihood = -309.53906  (not concave)
Iteration 247: log pseudolikelihood =  -309.5388  (not concave)
Iteration 248: log pseudolikelihood = -309.53855  (not concave)
Iteration 249: log pseudolikelihood =  -309.5383  (not concave)
Iteration 250: log pseudolikelihood = -309.53804  (not concave)
Iteration 251: log pseudolikelihood = -309.53779  (not concave)
Iteration 252: log pseudolikelihood = -309.53754  (not concave)
Iteration 253: log pseudolikelihood = -309.53729  (not concave)
Iteration 254: log pseudolikelihood = -309.53703  (not concave)
Iteration 255: log pseudolikelihood = -309.53678  (not concave)
Iteration 256: log pseudolikelihood = -309.53653  (not concave)
Iteration 257: log pseudolikelihood = -309.53628  (not concave)
Iteration 258: log pseudolikelihood = -309.53603  (not concave)
Iteration 259: log pseudolikelihood = -309.53578  (not concave)
Iteration 260: log pseudolikelihood = -309.53552  (not concave)
Iteration 261: log pseudolikelihood = -309.53527  (not concave)
Iteration 262: log pseudolikelihood = -309.53502  (not concave)
Iteration 263: log pseudolikelihood = -309.53477  (not concave)
Iteration 264: log pseudolikelihood = -309.53452  (not concave)
Iteration 265: log pseudolikelihood = -309.53427  (not concave)
Iteration 266: log pseudolikelihood = -309.53402  (not concave)
Iteration 267: log pseudolikelihood = -309.53377  (not concave)
Iteration 268: log pseudolikelihood = -309.53352  (not concave)
Iteration 269: log pseudolikelihood = -309.53327  (not concave)
Iteration 270: log pseudolikelihood = -309.53302  (not concave)
Iteration 271: log pseudolikelihood = -309.53277  (not concave)
Iteration 272: log pseudolikelihood = -309.53252  (not concave)
Iteration 273: log pseudolikelihood = -309.53227  (not concave)
Iteration 274: log pseudolikelihood = -309.53202  (not concave)
Iteration 275: log pseudolikelihood = -309.53177  (not concave)
Iteration 276: log pseudolikelihood = -309.53152  (not concave)
Iteration 277: log pseudolikelihood = -309.53128  (not concave)
Iteration 278: log pseudolikelihood = -309.53103  (not concave)
Iteration 279: log pseudolikelihood = -309.53078  (not concave)
Iteration 280: log pseudolikelihood = -309.53053  (not concave)
Iteration 281: log pseudolikelihood = -309.53028  (not concave)
Iteration 282: log pseudolikelihood = -309.53003  (not concave)
Iteration 283: log pseudolikelihood = -309.52978  (not concave)
Iteration 284: log pseudolikelihood = -309.52954  (not concave)
Iteration 285: log pseudolikelihood = -309.52929  (not concave)
Iteration 286: log pseudolikelihood = -309.52904  (not concave)
Iteration 287: log pseudolikelihood = -309.52879  (not concave)
Iteration 288: log pseudolikelihood = -309.52855  (not concave)
Iteration 289: log pseudolikelihood =  -309.5283  (not concave)
Iteration 290: log pseudolikelihood = -309.52805  (not concave)
Iteration 291: log pseudolikelihood = -309.52781  (not concave)
Iteration 292: log pseudolikelihood = -309.52756  (not concave)
Iteration 293: log pseudolikelihood = -309.52731  (not concave)
Iteration 294: log pseudolikelihood = -309.52707  (not concave)
Iteration 295: log pseudolikelihood = -309.52682  (not concave)
Iteration 296: log pseudolikelihood = -309.52657  (not concave)
Iteration 297: log pseudolikelihood = -309.52633  (not concave)
Iteration 298: log pseudolikelihood = -309.52608  (not concave)
Iteration 299: log pseudolikelihood = -309.52583  (not concave)
Iteration 300: log pseudolikelihood = -309.52559  (not concave)
Iteration 301: log pseudolikelihood = -309.52534  (not concave)
Iteration 302: log pseudolikelihood =  -309.5251  (not concave)
Iteration 303: log pseudolikelihood = -309.52485  (not concave)
Iteration 304: log pseudolikelihood = -309.52461  (not concave)
Iteration 305: log pseudolikelihood = -309.52436  (not concave)
Iteration 306: log pseudolikelihood = -309.52412  (not concave)
Iteration 307: log pseudolikelihood = -309.52387  (not concave)
Iteration 308: log pseudolikelihood = -309.52363  (not concave)
Iteration 309: log pseudolikelihood = -309.52338  (not concave)
Iteration 310: log pseudolikelihood = -309.52314  (not concave)
Iteration 311: log pseudolikelihood = -309.52289  (not concave)
Iteration 312: log pseudolikelihood = -309.52265  (not concave)
Iteration 313: log pseudolikelihood = -309.52241  (not concave)
Iteration 314: log pseudolikelihood = -309.52216  (not concave)
Iteration 315: log pseudolikelihood = -309.52192  (not concave)
Iteration 316: log pseudolikelihood = -309.52167  (not concave)
Iteration 317: log pseudolikelihood = -309.52143  (not concave)
Iteration 318: log pseudolikelihood = -309.52119  (not concave)
Iteration 319: log pseudolikelihood = -309.52094  (not concave)
Iteration 320: log pseudolikelihood =  -309.5207  (not concave)
Iteration 321: log pseudolikelihood = -309.52046  (not concave)
Iteration 322: log pseudolikelihood = -309.52021  (not concave)
Iteration 323: log pseudolikelihood = -309.51997  (not concave)
Iteration 324: log pseudolikelihood = -309.51973  (not concave)
Iteration 325: log pseudolikelihood = -309.51948  (not concave)
Iteration 326: log pseudolikelihood = -309.51924  (not concave)
Iteration 327: log pseudolikelihood =   -309.519  (not concave)
Iteration 328: log pseudolikelihood = -309.51876  (not concave)
Iteration 329: log pseudolikelihood = -309.51851  (not concave)
Iteration 330: log pseudolikelihood = -309.51827  (not concave)
Iteration 331: log pseudolikelihood = -309.51803  (not concave)
Iteration 332: log pseudolikelihood = -309.51779  (not concave)
Iteration 333: log pseudolikelihood = -309.51755  (not concave)
Iteration 334: log pseudolikelihood =  -309.5173  (not concave)
Iteration 335: log pseudolikelihood = -309.51706  (not concave)
Iteration 336: log pseudolikelihood = -309.51682  (not concave)
Iteration 337: log pseudolikelihood = -309.51658  (not concave)
Iteration 338: log pseudolikelihood = -309.51634  (not concave)
Iteration 339: log pseudolikelihood =  -309.5161  (not concave)
Iteration 340: log pseudolikelihood = -309.51586  (not concave)
Iteration 341: log pseudolikelihood = -309.51562  (not concave)
Iteration 342: log pseudolikelihood = -309.51538  (not concave)
Iteration 343: log pseudolikelihood = -309.51513  (not concave)
Iteration 344: log pseudolikelihood = -309.51489  (not concave)
Iteration 345: log pseudolikelihood = -309.51465  (not concave)
Iteration 346: log pseudolikelihood = -309.51441  (not concave)
Iteration 347: log pseudolikelihood = -309.51417  (not concave)
Iteration 348: log pseudolikelihood = -309.51393  (not concave)
Iteration 349: log pseudolikelihood = -309.51369  (not concave)
Iteration 350: log pseudolikelihood = -309.51345  (not concave)
Iteration 351: log pseudolikelihood = -309.51321  (not concave)
Iteration 352: log pseudolikelihood = -309.51297  (not concave)
Iteration 353: log pseudolikelihood = -309.51273  (not concave)
Iteration 354: log pseudolikelihood = -309.51249  (not concave)
Iteration 355: log pseudolikelihood = -309.51226  (not concave)
Iteration 356: log pseudolikelihood = -309.51202  (not concave)
Iteration 357: log pseudolikelihood = -309.51178  (not concave)
Iteration 358: log pseudolikelihood = -309.51154  (not concave)
Iteration 359: log pseudolikelihood =  -309.5113  (not concave)
Iteration 360: log pseudolikelihood = -309.51106  (not concave)
Iteration 361: log pseudolikelihood = -309.51082  (not concave)
Iteration 362: log pseudolikelihood = -309.51058  (not concave)
Iteration 363: log pseudolikelihood = -309.51034  (not concave)
Iteration 364: log pseudolikelihood = -309.51011  (not concave)
Iteration 365: log pseudolikelihood = -309.50987  (not concave)
Iteration 366: log pseudolikelihood = -309.50963  (not concave)
Iteration 367: log pseudolikelihood = -309.50939  (not concave)
Iteration 368: log pseudolikelihood = -309.50915  (not concave)
Iteration 369: log pseudolikelihood = -309.50892  (not concave)
Iteration 370: log pseudolikelihood = -309.50868  (not concave)
Iteration 371: log pseudolikelihood = -309.50844  (not concave)
Iteration 372: log pseudolikelihood =  -309.5082  (not concave)
Iteration 373: log pseudolikelihood = -309.50797  (not concave)
Iteration 374: log pseudolikelihood = -309.50773  (not concave)
Iteration 375: log pseudolikelihood = -309.50749  (not concave)
Iteration 376: log pseudolikelihood = -309.50725  (not concave)
Iteration 377: log pseudolikelihood = -309.50702  (not concave)
Iteration 378: log pseudolikelihood = -309.50678  (not concave)
Iteration 379: log pseudolikelihood = -309.50654  (not concave)
Iteration 380: log pseudolikelihood = -309.50631  (not concave)
Iteration 381: log pseudolikelihood = -309.50607  (not concave)
Iteration 382: log pseudolikelihood = -309.50583  (not concave)
Iteration 383: log pseudolikelihood =  -309.5056  (not concave)
Iteration 384: log pseudolikelihood = -309.50536  (not concave)
Iteration 385: log pseudolikelihood = -309.50513  (not concave)
Iteration 386: log pseudolikelihood = -309.50489  (not concave)
Iteration 387: log pseudolikelihood = -309.50465  (not concave)
Iteration 388: log pseudolikelihood = -309.50442  (not concave)
Iteration 389: log pseudolikelihood = -309.50418  (not concave)
Iteration 390: log pseudolikelihood = -309.50395  (not concave)
Iteration 391: log pseudolikelihood = -309.50371  (not concave)
Iteration 392: log pseudolikelihood = -309.50348  (not concave)
Iteration 393: log pseudolikelihood = -309.50324  (not concave)
Iteration 394: log pseudolikelihood =   -309.503  (not concave)
Iteration 395: log pseudolikelihood = -309.50277  (not concave)
Iteration 396: log pseudolikelihood = -309.50253  (not concave)
Iteration 397: log pseudolikelihood =  -309.5023  (not concave)
Iteration 398: log pseudolikelihood = -309.50206  (not concave)
Iteration 399: log pseudolikelihood = -309.50183  (not concave)
Iteration 400: log pseudolikelihood =  -309.5016  (not concave)
Iteration 401: log pseudolikelihood = -309.50136  (not concave)
Iteration 402: log pseudolikelihood = -309.50113  (not concave)
Iteration 403: log pseudolikelihood = -309.50089  (not concave)
Iteration 404: log pseudolikelihood = -309.50066  (not concave)
Iteration 405: log pseudolikelihood = -309.50042  (not concave)
Iteration 406: log pseudolikelihood = -309.50019  (not concave)
Iteration 407: log pseudolikelihood = -309.49996  (not concave)
Iteration 408: log pseudolikelihood = -309.49972  (not concave)
Iteration 409: log pseudolikelihood = -309.49949  (not concave)
Iteration 410: log pseudolikelihood = -309.49926  (not concave)
Iteration 411: log pseudolikelihood = -309.49902  (not concave)
Iteration 412: log pseudolikelihood = -309.49879  (not concave)
Iteration 413: log pseudolikelihood = -309.49856  (not concave)
Iteration 414: log pseudolikelihood = -309.49832  (not concave)
Iteration 415: log pseudolikelihood = -309.49809  (not concave)
Iteration 416: log pseudolikelihood = -309.49786  (not concave)
Iteration 417: log pseudolikelihood = -309.49762  (not concave)
Iteration 418: log pseudolikelihood = -309.49739  (not concave)
Iteration 419: log pseudolikelihood = -309.49716  (not concave)
Iteration 420: log pseudolikelihood = -309.49693  (not concave)
Iteration 421: log pseudolikelihood = -309.49669  (not concave)
Iteration 422: log pseudolikelihood = -309.49646  (not concave)
Iteration 423: log pseudolikelihood = -309.49623  (not concave)
Iteration 424: log pseudolikelihood =   -309.496  (not concave)
Iteration 425: log pseudolikelihood = -309.49576  (not concave)
Iteration 426: log pseudolikelihood = -309.49553  (not concave)
Iteration 427: log pseudolikelihood =  -309.4953  (not concave)
Iteration 428: log pseudolikelihood = -309.49507  (not concave)
Iteration 429: log pseudolikelihood = -309.49484  (not concave)
Iteration 430: log pseudolikelihood = -309.49461  (not concave)
Iteration 431: log pseudolikelihood = -309.49437  (not concave)
Iteration 432: log pseudolikelihood = -309.49414  (not concave)
Iteration 433: log pseudolikelihood = -309.49391  (not concave)
Iteration 434: log pseudolikelihood = -309.49368  (not concave)
Iteration 435: log pseudolikelihood = -309.49345  (not concave)
Iteration 436: log pseudolikelihood = -309.49322  (not concave)
Iteration 437: log pseudolikelihood = -309.49299  (not concave)
Iteration 438: log pseudolikelihood = -309.49276  (not concave)
Iteration 439: log pseudolikelihood = -309.49253  (not concave)
Iteration 440: log pseudolikelihood =  -309.4923  (not concave)
Iteration 441: log pseudolikelihood = -309.49207  (not concave)
Iteration 442: log pseudolikelihood = -309.49184  (not concave)
Iteration 443: log pseudolikelihood = -309.49161  (not concave)
Iteration 444: log pseudolikelihood = -309.49138  (not concave)
Iteration 445: log pseudolikelihood = -309.49115  (not concave)
Iteration 446: log pseudolikelihood = -309.49092  (not concave)
Iteration 447: log pseudolikelihood = -309.49069  (not concave)
Iteration 448: log pseudolikelihood = -309.49046  (not concave)
Iteration 449: log pseudolikelihood = -309.49023  (not concave)
Iteration 450: log pseudolikelihood =    -309.49  (not concave)
Iteration 451: log pseudolikelihood = -309.48977  (not concave)
Iteration 452: log pseudolikelihood = -309.48954  (not concave)
Iteration 453: log pseudolikelihood = -309.48931  (not concave)
Iteration 454: log pseudolikelihood = -309.48908  (not concave)
Iteration 455: log pseudolikelihood = -309.48885  (not concave)
Iteration 456: log pseudolikelihood = -309.48862  (not concave)
Iteration 457: log pseudolikelihood = -309.48839  (not concave)
Iteration 458: log pseudolikelihood = -309.48816  (not concave)
Iteration 459: log pseudolikelihood = -309.48794  (not concave)
Iteration 460: log pseudolikelihood = -309.48771  (not concave)
Iteration 461: log pseudolikelihood = -309.48748  (not concave)
Iteration 462: log pseudolikelihood = -309.48725  (not concave)
Iteration 463: log pseudolikelihood = -309.48702  (not concave)
Iteration 464: log pseudolikelihood = -309.48679  (not concave)
Iteration 465: log pseudolikelihood = -309.48657  (not concave)
Iteration 466: log pseudolikelihood = -309.48634  (not concave)
Iteration 467: log pseudolikelihood = -309.48611  (not concave)
Iteration 468: log pseudolikelihood = -309.48588  (not concave)
Iteration 469: log pseudolikelihood = -309.48565  (not concave)
Iteration 470: log pseudolikelihood = -309.48543  (not concave)
Iteration 471: log pseudolikelihood =  -309.4852  (not concave)
Iteration 472: log pseudolikelihood = -309.48497  (not concave)
Iteration 473: log pseudolikelihood = -309.48475  (not concave)
Iteration 474: log pseudolikelihood = -309.48452  (not concave)
Iteration 475: log pseudolikelihood = -309.48429  (not concave)
Iteration 476: log pseudolikelihood = -309.48406  (not concave)
Iteration 477: log pseudolikelihood = -309.48384  (not concave)
Iteration 478: log pseudolikelihood = -309.48361  (not concave)
Iteration 479: log pseudolikelihood = -309.48338  (not concave)
Iteration 480: log pseudolikelihood = -309.48316  (not concave)
Iteration 481: log pseudolikelihood = -309.48293  (not concave)
Iteration 482: log pseudolikelihood =  -309.4827  (not concave)
Iteration 483: log pseudolikelihood = -309.48248  (not concave)
Iteration 484: log pseudolikelihood = -309.48225  (not concave)
Iteration 485: log pseudolikelihood = -309.48203  (not concave)
Iteration 486: log pseudolikelihood =  -309.4818  (not concave)
Iteration 487: log pseudolikelihood = -309.48157  (not concave)
Iteration 488: log pseudolikelihood = -309.48135  (not concave)
Iteration 489: log pseudolikelihood = -309.48112  (not concave)
Iteration 490: log pseudolikelihood =  -309.4809  (not concave)
Iteration 491: log pseudolikelihood = -309.48067  (not concave)
Iteration 492: log pseudolikelihood = -309.48045  (not concave)
Iteration 493: log pseudolikelihood = -309.48022  (not concave)
Iteration 494: log pseudolikelihood =    -309.48  (not concave)
Iteration 495: log pseudolikelihood = -309.47977  (not concave)
Iteration 496: log pseudolikelihood = -309.47955  (not concave)
Iteration 497: log pseudolikelihood = -309.47932  (not concave)
Iteration 498: log pseudolikelihood =  -309.4791  (not concave)
Iteration 499: log pseudolikelihood = -309.47887  (not concave)
Iteration 500: log pseudolikelihood = -309.47865  (not concave)
Iteration 501: log pseudolikelihood = -309.47842  (not concave)
Iteration 502: log pseudolikelihood =  -309.4782  (not concave)
Iteration 503: log pseudolikelihood = -309.47797  (not concave)
Iteration 504: log pseudolikelihood = -309.47775  (not concave)
Iteration 505: log pseudolikelihood = -309.47753  (not concave)
Iteration 506: log pseudolikelihood =  -309.4773  (not concave)
Iteration 507: log pseudolikelihood = -309.47708  (not concave)
Iteration 508: log pseudolikelihood = -309.47685  (not concave)
Iteration 509: log pseudolikelihood = -309.47663  (not concave)
Iteration 510: log pseudolikelihood = -309.47641  (not concave)
Iteration 511: log pseudolikelihood = -309.47618  (not concave)
Iteration 512: log pseudolikelihood = -309.47596  (not concave)
Iteration 513: log pseudolikelihood = -309.47574  (not concave)
Iteration 514: log pseudolikelihood = -309.47551  (not concave)
Iteration 515: log pseudolikelihood = -309.47529  (not concave)
Iteration 516: log pseudolikelihood = -309.47507  (not concave)
Iteration 517: log pseudolikelihood = -309.47485  (not concave)
Iteration 518: log pseudolikelihood = -309.47462  (not concave)
Iteration 519: log pseudolikelihood =  -309.4744  (not concave)
Iteration 520: log pseudolikelihood = -309.47418  (not concave)
Iteration 521: log pseudolikelihood = -309.47395  (not concave)
Iteration 522: log pseudolikelihood = -309.47373  (not concave)
Iteration 523: log pseudolikelihood = -309.47351  (not concave)
Iteration 524: log pseudolikelihood = -309.47329  (not concave)
Iteration 525: log pseudolikelihood = -309.47307  (not concave)
Iteration 526: log pseudolikelihood = -309.47284  (not concave)
Iteration 527: log pseudolikelihood = -309.47262  (not concave)
Iteration 528: log pseudolikelihood =  -309.4724  (not concave)
Iteration 529: log pseudolikelihood = -309.47218  (not concave)
Iteration 530: log pseudolikelihood = -309.47196  (not concave)
Iteration 531: log pseudolikelihood = -309.47173  (not concave)
Iteration 532: log pseudolikelihood = -309.47151  (not concave)
Iteration 533: log pseudolikelihood = -309.47129  (not concave)
Iteration 534: log pseudolikelihood = -309.47107  (not concave)
Iteration 535: log pseudolikelihood = -309.47085  (not concave)
Iteration 536: log pseudolikelihood = -309.47063  (not concave)
Iteration 537: log pseudolikelihood = -309.47041  (not concave)
Iteration 538: log pseudolikelihood = -309.47019  (not concave)
Iteration 539: log pseudolikelihood = -309.46997  (not concave)
Iteration 540: log pseudolikelihood = -309.46975  (not concave)
Iteration 541: log pseudolikelihood = -309.46953  (not concave)
Iteration 542: log pseudolikelihood =  -309.4693  (not concave)
Iteration 543: log pseudolikelihood = -309.46908  (not concave)
Iteration 544: log pseudolikelihood = -309.46886  (not concave)
Iteration 545: log pseudolikelihood = -309.46864  (not concave)
Iteration 546: log pseudolikelihood = -309.46842  (not concave)
Iteration 547: log pseudolikelihood =  -309.4682  (not concave)
Iteration 548: log pseudolikelihood = -309.46798  (not concave)
Iteration 549: log pseudolikelihood = -309.46776  (not concave)
Iteration 550: log pseudolikelihood = -309.46754  (not concave)
Iteration 551: log pseudolikelihood = -309.46732  (not concave)
Iteration 552: log pseudolikelihood = -309.46711  (not concave)
Iteration 553: log pseudolikelihood = -309.46689  (not concave)
Iteration 554: log pseudolikelihood = -309.46667  (not concave)
Iteration 555: log pseudolikelihood = -309.46645  (not concave)
Iteration 556: log pseudolikelihood = -309.46623  (not concave)
Iteration 557: log pseudolikelihood = -309.46601  (not concave)
Iteration 558: log pseudolikelihood = -309.46579  (not concave)
Iteration 559: log pseudolikelihood = -309.46557  (not concave)
Iteration 560: log pseudolikelihood = -309.46535  (not concave)
Iteration 561: log pseudolikelihood = -309.46513  (not concave)
Iteration 562: log pseudolikelihood = -309.46492  (not concave)
Iteration 563: log pseudolikelihood =  -309.4647  (not concave)
Iteration 564: log pseudolikelihood = -309.46448  (not concave)
Iteration 565: log pseudolikelihood = -309.46426  (not concave)
Iteration 566: log pseudolikelihood = -309.46404  (not concave)
Iteration 567: log pseudolikelihood = -309.46383  (not concave)
Iteration 568: log pseudolikelihood = -309.46361  (not concave)
Iteration 569: log pseudolikelihood = -309.46339  (not concave)
Iteration 570: log pseudolikelihood = -309.46317  (not concave)
Iteration 571: log pseudolikelihood = -309.46295  (not concave)
Iteration 572: log pseudolikelihood = -309.46274  (not concave)
Iteration 573: log pseudolikelihood = -309.46252  (not concave)
Iteration 574: log pseudolikelihood =  -309.4623  (not concave)
Iteration 575: log pseudolikelihood = -309.46208  (not concave)
Iteration 576: log pseudolikelihood = -309.46187  (not concave)
Iteration 577: log pseudolikelihood = -309.46165  (not concave)
Iteration 578: log pseudolikelihood = -309.46143  (not concave)
Iteration 579: log pseudolikelihood = -309.46122  (not concave)
Iteration 580: log pseudolikelihood =   -309.461  (not concave)
Iteration 581: log pseudolikelihood = -309.46078  (not concave)
Iteration 582: log pseudolikelihood = -309.46057  (not concave)
Iteration 583: log pseudolikelihood = -309.46035  (not concave)
Iteration 584: log pseudolikelihood = -309.46013  (not concave)
Iteration 585: log pseudolikelihood = -309.45992  (not concave)
Iteration 586: log pseudolikelihood =  -309.4597  (not concave)
Iteration 587: log pseudolikelihood = -309.45949  (not concave)
Iteration 588: log pseudolikelihood = -309.45927  (not concave)
Iteration 589: log pseudolikelihood = -309.45905  (not concave)
Iteration 590: log pseudolikelihood = -309.45884  (not concave)
Iteration 591: log pseudolikelihood = -309.45862  (not concave)
Iteration 592: log pseudolikelihood = -309.45841  (not concave)
Iteration 593: log pseudolikelihood = -309.45819  (not concave)
Iteration 594: log pseudolikelihood = -309.45798  (not concave)
Iteration 595: log pseudolikelihood = -309.45776  (not concave)
Iteration 596: log pseudolikelihood = -309.45755  (not concave)
Iteration 597: log pseudolikelihood = -309.45733  (not concave)
Iteration 598: log pseudolikelihood = -309.45712  (not concave)
Iteration 599: log pseudolikelihood =  -309.4569  (not concave)
Iteration 600: log pseudolikelihood = -309.45669  (not concave)
Iteration 601: log pseudolikelihood = -309.45647  (not concave)
Iteration 602: log pseudolikelihood = -309.45626  (not concave)
Iteration 603: log pseudolikelihood = -309.45604  (not concave)
Iteration 604: log pseudolikelihood = -309.45583  (not concave)
Iteration 605: log pseudolikelihood = -309.45561  (not concave)
Iteration 606: log pseudolikelihood =  -309.4554  (not concave)
Iteration 607: log pseudolikelihood = -309.45518  (not concave)
Iteration 608: log pseudolikelihood = -309.45497  (not concave)
Iteration 609: log pseudolikelihood = -309.45476  (not concave)
Iteration 610: log pseudolikelihood = -309.45454  (not concave)
Iteration 611: log pseudolikelihood = -309.45433  (not concave)
Iteration 612: log pseudolikelihood = -309.45412  (not concave)
Iteration 613: log pseudolikelihood =  -309.4539  (not concave)
Iteration 614: log pseudolikelihood = -309.45369  (not concave)
Iteration 615: log pseudolikelihood = -309.45348  (not concave)
Iteration 616: log pseudolikelihood = -309.45326  (not concave)
Iteration 617: log pseudolikelihood = -309.45305  (not concave)
Iteration 618: log pseudolikelihood = -309.45284  (not concave)
Iteration 619: log pseudolikelihood = -309.45262  (not concave)
Iteration 620: log pseudolikelihood = -309.45241  (not concave)
Iteration 621: log pseudolikelihood =  -309.4522  (not concave)
Iteration 622: log pseudolikelihood = -309.45198  (not concave)
Iteration 623: log pseudolikelihood = -309.45177  (not concave)
Iteration 624: log pseudolikelihood = -309.45156  (not concave)
Iteration 625: log pseudolikelihood = -309.45135  (not concave)
Iteration 626: log pseudolikelihood = -309.45114  (not concave)
Iteration 627: log pseudolikelihood = -309.45092  (not concave)
Iteration 628: log pseudolikelihood = -309.45071  (not concave)
Iteration 629: log pseudolikelihood =  -309.4505  (not concave)
Iteration 630: log pseudolikelihood = -309.45029  (not concave)
Iteration 631: log pseudolikelihood = -309.45008  (not concave)
Iteration 632: log pseudolikelihood = -309.44986  (not concave)
Iteration 633: log pseudolikelihood = -309.44965  (not concave)
Iteration 634: log pseudolikelihood = -309.44944  (not concave)
Iteration 635: log pseudolikelihood = -309.44923  (not concave)
Iteration 636: log pseudolikelihood = -309.44902  (not concave)
Iteration 637: log pseudolikelihood = -309.44881  (not concave)
Iteration 638: log pseudolikelihood =  -309.4486  (not concave)
Iteration 639: log pseudolikelihood = -309.44838  (not concave)
Iteration 640: log pseudolikelihood = -309.44817  (not concave)
Iteration 641: log pseudolikelihood = -309.44796  (not concave)
Iteration 642: log pseudolikelihood = -309.44775  (not concave)
Iteration 643: log pseudolikelihood = -309.44754  (not concave)
Iteration 644: log pseudolikelihood = -309.44733  (not concave)
Iteration 645: log pseudolikelihood = -309.44712  (not concave)
Iteration 646: log pseudolikelihood = -309.44691  (not concave)
Iteration 647: log pseudolikelihood =  -309.4467  (not concave)
Iteration 648: log pseudolikelihood = -309.44649  (not concave)
Iteration 649: log pseudolikelihood = -309.44628  (not concave)
Iteration 650: log pseudolikelihood = -309.44607  (not concave)
Iteration 651: log pseudolikelihood = -309.44586  (not concave)
Iteration 652: log pseudolikelihood = -309.44565  (not concave)
Iteration 653: log pseudolikelihood = -309.44544  (not concave)
Iteration 654: log pseudolikelihood = -309.44523  (not concave)
Iteration 655: log pseudolikelihood = -309.44502  (not concave)
Iteration 656: log pseudolikelihood = -309.44481  (not concave)
Iteration 657: log pseudolikelihood =  -309.4446  (not concave)
Iteration 658: log pseudolikelihood = -309.44439  (not concave)
Iteration 659: log pseudolikelihood = -309.44418  (not concave)
Iteration 660: log pseudolikelihood = -309.44398  (not concave)
Iteration 661: log pseudolikelihood = -309.44377  (not concave)
Iteration 662: log pseudolikelihood = -309.44356  (not concave)
Iteration 663: log pseudolikelihood = -309.44335  (not concave)
Iteration 664: log pseudolikelihood = -309.44314  (not concave)
Iteration 665: log pseudolikelihood = -309.44293  (not concave)
Iteration 666: log pseudolikelihood = -309.44272  (not concave)
Iteration 667: log pseudolikelihood = -309.44251  (not concave)
Iteration 668: log pseudolikelihood = -309.44231  (not concave)
Iteration 669: log pseudolikelihood =  -309.4421  (not concave)
Iteration 670: log pseudolikelihood = -309.44189  (not concave)
Iteration 671: log pseudolikelihood = -309.44168  (not concave)
Iteration 672: log pseudolikelihood = -309.44147  (not concave)
Iteration 673: log pseudolikelihood = -309.44127  (not concave)
Iteration 674: log pseudolikelihood = -309.44106  (not concave)
Iteration 675: log pseudolikelihood = -309.44085  (not concave)
Iteration 676: log pseudolikelihood = -309.44064  (not concave)
Iteration 677: log pseudolikelihood = -309.44044  (not concave)
Iteration 678: log pseudolikelihood = -309.44023  (not concave)
Iteration 679: log pseudolikelihood = -309.44002  (not concave)
Iteration 680: log pseudolikelihood = -309.43982  (not concave)
Iteration 681: log pseudolikelihood = -309.43961  (not concave)
Iteration 682: log pseudolikelihood =  -309.4394  (not concave)
Iteration 683: log pseudolikelihood = -309.43919  (not concave)
Iteration 684: log pseudolikelihood = -309.43899  (not concave)
Iteration 685: log pseudolikelihood = -309.43878  (not concave)
Iteration 686: log pseudolikelihood = -309.43857  (not concave)
Iteration 687: log pseudolikelihood = -309.43837  (not concave)
Iteration 688: log pseudolikelihood = -309.43816  (not concave)
Iteration 689: log pseudolikelihood = -309.43796  (not concave)
Iteration 690: log pseudolikelihood = -309.43775  (not concave)
Iteration 691: log pseudolikelihood = -309.43754  (not concave)
Iteration 692: log pseudolikelihood = -309.43734  (not concave)
Iteration 693: log pseudolikelihood = -309.43713  (not concave)
Iteration 694: log pseudolikelihood = -309.43693  (not concave)
Iteration 695: log pseudolikelihood = -309.43672  (not concave)
Iteration 696: log pseudolikelihood = -309.43651  (not concave)
Iteration 697: log pseudolikelihood = -309.43631  (not concave)
Iteration 698: log pseudolikelihood =  -309.4361  (not concave)
Iteration 699: log pseudolikelihood =  -309.4359  (not concave)
Iteration 700: log pseudolikelihood = -309.43569  (not concave)
Iteration 701: log pseudolikelihood = -309.43549  (not concave)
Iteration 702: log pseudolikelihood = -309.43528  (not concave)
Iteration 703: log pseudolikelihood = -309.43508  (not concave)
Iteration 704: log pseudolikelihood = -309.43487  (not concave)
Iteration 705: log pseudolikelihood = -309.43467  (not concave)
Iteration 706: log pseudolikelihood = -309.43446  (not concave)
Iteration 707: log pseudolikelihood = -309.43426  (not concave)
Iteration 708: log pseudolikelihood = -309.43405  (not concave)
Iteration 709: log pseudolikelihood = -309.43385  (not concave)
Iteration 710: log pseudolikelihood = -309.43365  (not concave)
Iteration 711: log pseudolikelihood = -309.43344  (not concave)
Iteration 712: log pseudolikelihood = -309.43324  (not concave)
Iteration 713: log pseudolikelihood = -309.43303  (not concave)
Iteration 714: log pseudolikelihood = -309.43283  (not concave)
Iteration 715: log pseudolikelihood = -309.43263  (not concave)
Iteration 716: log pseudolikelihood = -309.43242  (not concave)
Iteration 717: log pseudolikelihood = -309.43222  (not concave)
Iteration 718: log pseudolikelihood = -309.43202  (not concave)
Iteration 719: log pseudolikelihood = -309.43181  (not concave)
Iteration 720: log pseudolikelihood = -309.43161  (not concave)
Iteration 721: log pseudolikelihood = -309.43141  (not concave)
Iteration 722: log pseudolikelihood =  -309.4312  (not concave)
Iteration 723: log pseudolikelihood =   -309.431  (not concave)
Iteration 724: log pseudolikelihood =  -309.4308  (not concave)
Iteration 725: log pseudolikelihood = -309.43059  (not concave)
Iteration 726: log pseudolikelihood = -309.43039  (not concave)
Iteration 727: log pseudolikelihood = -309.43019  (not concave)
Iteration 728: log pseudolikelihood = -309.42999  (not concave)
Iteration 729: log pseudolikelihood = -309.42978  (not concave)
Iteration 730: log pseudolikelihood = -309.42958  (not concave)
Iteration 731: log pseudolikelihood = -309.42938  (not concave)
Iteration 732: log pseudolikelihood = -309.42918  (not concave)
Iteration 733: log pseudolikelihood = -309.42897  (not concave)
Iteration 734: log pseudolikelihood = -309.42877  (not concave)
Iteration 735: log pseudolikelihood = -309.42857  (not concave)
Iteration 736: log pseudolikelihood = -309.42837  (not concave)
Iteration 737: log pseudolikelihood = -309.42817  (not concave)
Iteration 738: log pseudolikelihood = -309.42796  (not concave)
Iteration 739: log pseudolikelihood = -309.42776  (not concave)
Iteration 740: log pseudolikelihood = -309.42756  (not concave)
Iteration 741: log pseudolikelihood = -309.42736  (not concave)
Iteration 742: log pseudolikelihood = -309.42716  (not concave)
Iteration 743: log pseudolikelihood = -309.42696  (not concave)
Iteration 744: log pseudolikelihood = -309.42676  (not concave)
Iteration 745: log pseudolikelihood = -309.42656  (not concave)
Iteration 746: log pseudolikelihood = -309.42635  (not concave)
Iteration 747: log pseudolikelihood = -309.42615  (not concave)
Iteration 748: log pseudolikelihood = -309.42595  (not concave)
Iteration 749: log pseudolikelihood = -309.42575  (not concave)
Iteration 750: log pseudolikelihood = -309.42555  (not concave)
Iteration 751: log pseudolikelihood = -309.42535  (not concave)
Iteration 752: log pseudolikelihood = -309.42515  (not concave)
Iteration 753: log pseudolikelihood = -309.42495  (not concave)
Iteration 754: log pseudolikelihood = -309.42475  (not concave)
Iteration 755: log pseudolikelihood = -309.42455  (not concave)
Iteration 756: log pseudolikelihood = -309.42435  (not concave)
Iteration 757: log pseudolikelihood = -309.42415  (not concave)
Iteration 758: log pseudolikelihood = -309.42395  (not concave)
Iteration 759: log pseudolikelihood = -309.42375  (not concave)
Iteration 760: log pseudolikelihood = -309.42355  (not concave)
Iteration 761: log pseudolikelihood = -309.42335  (not concave)
Iteration 762: log pseudolikelihood = -309.42315  (not concave)
Iteration 763: log pseudolikelihood = -309.42295  (not concave)
Iteration 764: log pseudolikelihood = -309.42275  (not concave)
Iteration 765: log pseudolikelihood = -309.42256  (not concave)
Iteration 766: log pseudolikelihood = -309.42236  (not concave)
Iteration 767: log pseudolikelihood = -309.42216  (not concave)
Iteration 768: log pseudolikelihood = -309.42196  (not concave)
Iteration 769: log pseudolikelihood = -309.42176  (not concave)
Iteration 770: log pseudolikelihood = -309.42156  (not concave)
Iteration 771: log pseudolikelihood = -309.42136  (not concave)
Iteration 772: log pseudolikelihood = -309.42116  (not concave)
Iteration 773: log pseudolikelihood = -309.42097  (not concave)
Iteration 774: log pseudolikelihood = -309.42077  (not concave)
Iteration 775: log pseudolikelihood = -309.42057  (not concave)
Iteration 776: log pseudolikelihood = -309.42037  (not concave)
Iteration 777: log pseudolikelihood = -309.42017  (not concave)
Iteration 778: log pseudolikelihood = -309.41997  (not concave)
Iteration 779: log pseudolikelihood = -309.41978  (not concave)
Iteration 780: log pseudolikelihood = -309.41958  (not concave)
Iteration 781: log pseudolikelihood = -309.41938  (not concave)
Iteration 782: log pseudolikelihood = -309.41918  (not concave)
Iteration 783: log pseudolikelihood = -309.41899  (not concave)
Iteration 784: log pseudolikelihood = -309.41879  (not concave)
Iteration 785: log pseudolikelihood = -309.41859  (not concave)
Iteration 786: log pseudolikelihood = -309.41839  (not concave)
Iteration 787: log pseudolikelihood =  -309.4182  (not concave)
Iteration 788: log pseudolikelihood =   -309.418  (not concave)
Iteration 789: log pseudolikelihood =  -309.4178  (not concave)
Iteration 790: log pseudolikelihood = -309.41761  (not concave)
Iteration 791: log pseudolikelihood = -309.41741  (not concave)
Iteration 792: log pseudolikelihood = -309.41721  (not concave)
Iteration 793: log pseudolikelihood = -309.41702  (not concave)
Iteration 794: log pseudolikelihood = -309.41682  (not concave)
Iteration 795: log pseudolikelihood = -309.41662  (not concave)
Iteration 796: log pseudolikelihood = -309.41643  (not concave)
Iteration 797: log pseudolikelihood = -309.41623  (not concave)
Iteration 798: log pseudolikelihood = -309.41603  (not concave)
Iteration 799: log pseudolikelihood = -309.41584  (not concave)
Iteration 800: log pseudolikelihood = -309.41564  (not concave)
Iteration 801: log pseudolikelihood = -309.41545  (not concave)
Iteration 802: log pseudolikelihood = -309.41525  (not concave)
Iteration 803: log pseudolikelihood = -309.41505  (not concave)
Iteration 804: log pseudolikelihood = -309.41486  (not concave)
Iteration 805: log pseudolikelihood = -309.41466  (not concave)
Iteration 806: log pseudolikelihood = -309.41447  (not concave)
Iteration 807: log pseudolikelihood = -309.41427  (not concave)
Iteration 808: log pseudolikelihood = -309.41408  (not concave)
Iteration 809: log pseudolikelihood = -309.41388  (not concave)
Iteration 810: log pseudolikelihood = -309.41369  (not concave)
Iteration 811: log pseudolikelihood = -309.41349  (not concave)
Iteration 812: log pseudolikelihood =  -309.4133  (not concave)
Iteration 813: log pseudolikelihood =  -309.4131  (not concave)
Iteration 814: log pseudolikelihood = -309.41291  (not concave)
Iteration 815: log pseudolikelihood = -309.41271  (not concave)
Iteration 816: log pseudolikelihood = -309.41252  (not concave)
Iteration 817: log pseudolikelihood = -309.41232  (not concave)
Iteration 818: log pseudolikelihood = -309.41213  (not concave)
Iteration 819: log pseudolikelihood = -309.41193  (not concave)
Iteration 820: log pseudolikelihood = -309.41174  (not concave)
Iteration 821: log pseudolikelihood = -309.41155  (not concave)
Iteration 822: log pseudolikelihood = -309.41135  (not concave)
Iteration 823: log pseudolikelihood = -309.41116  (not concave)
Iteration 824: log pseudolikelihood = -309.41096  (not concave)
Iteration 825: log pseudolikelihood = -309.41077  (not concave)
Iteration 826: log pseudolikelihood = -309.41058  (not concave)
Iteration 827: log pseudolikelihood = -309.41038  (not concave)
Iteration 828: log pseudolikelihood = -309.41019  (not concave)
Iteration 829: log pseudolikelihood =    -309.41  (not concave)
Iteration 830: log pseudolikelihood =  -309.4098  (not concave)
Iteration 831: log pseudolikelihood = -309.40961  (not concave)
Iteration 832: log pseudolikelihood = -309.40942  (not concave)
Iteration 833: log pseudolikelihood = -309.40922  (not concave)
Iteration 834: log pseudolikelihood = -309.40903  (not concave)
Iteration 835: log pseudolikelihood = -309.40884  (not concave)
Iteration 836: log pseudolikelihood = -309.40864  (not concave)
Iteration 837: log pseudolikelihood = -309.40845  (not concave)
Iteration 838: log pseudolikelihood = -309.40826  (not concave)
Iteration 839: log pseudolikelihood = -309.40807  (not concave)
Iteration 840: log pseudolikelihood = -309.40787  (not concave)
Iteration 841: log pseudolikelihood = -309.40768  (not concave)
Iteration 842: log pseudolikelihood = -309.40749  (not concave)
Iteration 843: log pseudolikelihood =  -309.4073  (not concave)
Iteration 844: log pseudolikelihood =  -309.4071  (not concave)
Iteration 845: log pseudolikelihood = -309.40691  (not concave)
Iteration 846: log pseudolikelihood = -309.40672  (not concave)
Iteration 847: log pseudolikelihood = -309.40653  (not concave)
Iteration 848: log pseudolikelihood = -309.40634  (not concave)
Iteration 849: log pseudolikelihood = -309.40615  (not concave)
Iteration 850: log pseudolikelihood = -309.40595  (not concave)
Iteration 851: log pseudolikelihood = -309.40576  (not concave)
Iteration 852: log pseudolikelihood = -309.40557  (not concave)
Iteration 853: log pseudolikelihood = -309.40538  (not concave)
Iteration 854: log pseudolikelihood = -309.40519  (not concave)
Iteration 855: log pseudolikelihood =   -309.405  (not concave)
Iteration 856: log pseudolikelihood = -309.40481  (not concave)
Iteration 857: log pseudolikelihood = -309.40461  (not concave)
Iteration 858: log pseudolikelihood = -309.40442  (not concave)
Iteration 859: log pseudolikelihood = -309.40423  (not concave)
Iteration 860: log pseudolikelihood = -309.40404  (not concave)
Iteration 861: log pseudolikelihood = -309.40385  (not concave)
Iteration 862: log pseudolikelihood = -309.40366  (not concave)
Iteration 863: log pseudolikelihood = -309.40347  (not concave)
Iteration 864: log pseudolikelihood = -309.40328  (not concave)
Iteration 865: log pseudolikelihood = -309.40309  (not concave)
Iteration 866: log pseudolikelihood =  -309.4029  (not concave)
Iteration 867: log pseudolikelihood = -309.40271  (not concave)
Iteration 868: log pseudolikelihood = -309.40252  (not concave)
Iteration 869: log pseudolikelihood = -309.40233  (not concave)
Iteration 870: log pseudolikelihood = -309.40214  (not concave)
Iteration 871: log pseudolikelihood = -309.40195  (not concave)
Iteration 872: log pseudolikelihood = -309.40176  (not concave)
Iteration 873: log pseudolikelihood = -309.40157  (not concave)
Iteration 874: log pseudolikelihood = -309.40138  (not concave)
Iteration 875: log pseudolikelihood = -309.40119  (not concave)
Iteration 876: log pseudolikelihood =   -309.401  (not concave)
Iteration 877: log pseudolikelihood = -309.40081  (not concave)
Iteration 878: log pseudolikelihood = -309.40062  (not concave)
Iteration 879: log pseudolikelihood = -309.40043  (not concave)
Iteration 880: log pseudolikelihood = -309.40024  (not concave)
Iteration 881: log pseudolikelihood = -309.40006  (not concave)
Iteration 882: log pseudolikelihood = -309.39987  (not concave)
Iteration 883: log pseudolikelihood = -309.39968  (not concave)
Iteration 884: log pseudolikelihood = -309.39949  (not concave)
Iteration 885: log pseudolikelihood =  -309.3993  (not concave)
Iteration 886: log pseudolikelihood = -309.39911  (not concave)
Iteration 887: log pseudolikelihood = -309.39892  (not concave)
Iteration 888: log pseudolikelihood = -309.39874  (not concave)
Iteration 889: log pseudolikelihood = -309.39855  (not concave)
Iteration 890: log pseudolikelihood = -309.39836  (not concave)
Iteration 891: log pseudolikelihood = -309.39817  (not concave)
Iteration 892: log pseudolikelihood = -309.39798  (not concave)
Iteration 893: log pseudolikelihood = -309.39779  (not concave)
Iteration 894: log pseudolikelihood = -309.39761  (not concave)
Iteration 895: log pseudolikelihood = -309.39742  (not concave)
Iteration 896: log pseudolikelihood = -309.39723  (not concave)
Iteration 897: log pseudolikelihood = -309.39704  (not concave)
Iteration 898: log pseudolikelihood = -309.39686  (not concave)
Iteration 899: log pseudolikelihood = -309.39667  (not concave)
Iteration 900: log pseudolikelihood = -309.39648  (not concave)
Iteration 901: log pseudolikelihood = -309.39629  (not concave)
Iteration 902: log pseudolikelihood = -309.39611  (not concave)
Iteration 903: log pseudolikelihood = -309.39592  (not concave)
Iteration 904: log pseudolikelihood = -309.39573  (not concave)
Iteration 905: log pseudolikelihood = -309.39555  (not concave)
Iteration 906: log pseudolikelihood = -309.39536  (not concave)
Iteration 907: log pseudolikelihood = -309.39517  (not concave)
Iteration 908: log pseudolikelihood = -309.39499  (not concave)
Iteration 909: log pseudolikelihood =  -309.3948  (not concave)
Iteration 910: log pseudolikelihood = -309.39461  (not concave)
Iteration 911: log pseudolikelihood = -309.39443  (not concave)
Iteration 912: log pseudolikelihood = -309.39424  (not concave)
Iteration 913: log pseudolikelihood = -309.39405  (not concave)
Iteration 914: log pseudolikelihood = -309.39387  (not concave)
Iteration 915: log pseudolikelihood = -309.39368  (not concave)
Iteration 916: log pseudolikelihood = -309.39349  (not concave)
Iteration 917: log pseudolikelihood = -309.39331  (not concave)
Iteration 918: log pseudolikelihood = -309.39312  (not concave)
Iteration 919: log pseudolikelihood = -309.39294  (not concave)
Iteration 920: log pseudolikelihood = -309.39275  (not concave)
Iteration 921: log pseudolikelihood = -309.39257  (not concave)
Iteration 922: log pseudolikelihood = -309.39238  (not concave)
Iteration 923: log pseudolikelihood = -309.39219  (not concave)
Iteration 924: log pseudolikelihood = -309.39201  (not concave)
Iteration 925: log pseudolikelihood = -309.39182  (not concave)
Iteration 926: log pseudolikelihood = -309.39164  (not concave)
Iteration 927: log pseudolikelihood = -309.39145  (not concave)
Iteration 928: log pseudolikelihood = -309.39127  (not concave)
Iteration 929: log pseudolikelihood = -309.39108  (not concave)
Iteration 930: log pseudolikelihood =  -309.3909  (not concave)
Iteration 931: log pseudolikelihood = -309.39071  (not concave)
Iteration 932: log pseudolikelihood = -309.39053  (not concave)
Iteration 933: log pseudolikelihood = -309.39034  (not concave)
Iteration 934: log pseudolikelihood = -309.39016  (not concave)
Iteration 935: log pseudolikelihood = -309.38997  (not concave)
Iteration 936: log pseudolikelihood = -309.38979  (not concave)
Iteration 937: log pseudolikelihood = -309.38961  (not concave)
Iteration 938: log pseudolikelihood = -309.38942  (not concave)
Iteration 939: log pseudolikelihood = -309.38924  (not concave)
Iteration 940: log pseudolikelihood = -309.38905  (not concave)
Iteration 941: log pseudolikelihood = -309.38887  (not concave)
Iteration 942: log pseudolikelihood = -309.38868  (not concave)
Iteration 943: log pseudolikelihood =  -309.3885  (not concave)
Iteration 944: log pseudolikelihood = -309.38832  (not concave)
Iteration 945: log pseudolikelihood = -309.38813  (not concave)
Iteration 946: log pseudolikelihood = -309.38795  (not concave)
Iteration 947: log pseudolikelihood = -309.38777  (not concave)
Iteration 948: log pseudolikelihood = -309.38758  (not concave)
Iteration 949: log pseudolikelihood =  -309.3874  (not concave)
Iteration 950: log pseudolikelihood = -309.38722  (not concave)
Iteration 951: log pseudolikelihood = -309.38703  (not concave)
Iteration 952: log pseudolikelihood = -309.38685  (not concave)
Iteration 953: log pseudolikelihood = -309.38667  (not concave)
Iteration 954: log pseudolikelihood = -309.38648  (not concave)
Iteration 955: log pseudolikelihood =  -309.3863  (not concave)
Iteration 956: log pseudolikelihood = -309.38612  (not concave)
Iteration 957: log pseudolikelihood = -309.38593  (not concave)
Iteration 958: log pseudolikelihood = -309.38575  (not concave)
Iteration 959: log pseudolikelihood = -309.38557  (not concave)
Iteration 960: log pseudolikelihood = -309.38539  (not concave)
Iteration 961: log pseudolikelihood =  -309.3852  (not concave)
Iteration 962: log pseudolikelihood = -309.38502  (not concave)
Iteration 963: log pseudolikelihood = -309.38484  (not concave)
Iteration 964: log pseudolikelihood = -309.38466  (not concave)
Iteration 965: log pseudolikelihood = -309.38447  (not concave)
Iteration 966: log pseudolikelihood = -309.38429  (not concave)
Iteration 967: log pseudolikelihood = -309.38411  (not concave)
Iteration 968: log pseudolikelihood = -309.38393  (not concave)
Iteration 969: log pseudolikelihood = -309.38375  (not concave)
Iteration 970: log pseudolikelihood = -309.38357  (not concave)
Iteration 971: log pseudolikelihood = -309.38338  (not concave)
Iteration 972: log pseudolikelihood =  -309.3832  (not concave)
Iteration 973: log pseudolikelihood = -309.38302  (not concave)
Iteration 974: log pseudolikelihood = -309.38284  (not concave)
Iteration 975: log pseudolikelihood = -309.38266  (not concave)
Iteration 976: log pseudolikelihood = -309.38248  (not concave)
Iteration 977: log pseudolikelihood = -309.38229  (not concave)
Iteration 978: log pseudolikelihood = -309.38211  (not concave)
Iteration 979: log pseudolikelihood = -309.38193  (not concave)
Iteration 980: log pseudolikelihood = -309.38175  (not concave)
Iteration 981: log pseudolikelihood = -309.38157  (not concave)
Iteration 982: log pseudolikelihood = -309.38139  (not concave)
Iteration 983: log pseudolikelihood = -309.38121  (not concave)
Iteration 984: log pseudolikelihood = -309.38103  (not concave)
Iteration 985: log pseudolikelihood = -309.38085  (not concave)
Iteration 986: log pseudolikelihood = -309.38067  (not concave)
Iteration 987: log pseudolikelihood = -309.38049  (not concave)
Iteration 988: log pseudolikelihood = -309.38031  (not concave)
Iteration 989: log pseudolikelihood = -309.38013  (not concave)
Iteration 990: log pseudolikelihood = -309.37995  (not concave)
Iteration 991: log pseudolikelihood = -309.37977  (not concave)
Iteration 992: log pseudolikelihood = -309.37959  (not concave)
Iteration 993: log pseudolikelihood = -309.37941  (not concave)
Iteration 994: log pseudolikelihood = -309.37923  (not concave)
Iteration 995: log pseudolikelihood = -309.37905  (not concave)
Iteration 996: log pseudolikelihood = -309.37887  (not concave)
Iteration 997: log pseudolikelihood = -309.37869  (not concave)
Iteration 998: log pseudolikelihood = -309.37851  (not concave)
Iteration 999: log pseudolikelihood = -309.37833  (not concave)
Iteration 1000: log pseudolikelihood = -309.37815  (not concave)
Iteration 1001: log pseudolikelihood = -309.37797  (not concave)
Iteration 1002: log pseudolikelihood = -309.37779  (not concave)
Iteration 1003: log pseudolikelihood = -309.37761  (not concave)
Iteration 1004: log pseudolikelihood = -309.37743  (not concave)
Iteration 1005: log pseudolikelihood = -309.37725  (not concave)
Iteration 1006: log pseudolikelihood = -309.37707  (not concave)
Iteration 1007: log pseudolikelihood = -309.37689  (not concave)
Iteration 1008: log pseudolikelihood = -309.37671  (not concave)
Iteration 1009: log pseudolikelihood = -309.37654  (not concave)
Iteration 1010: log pseudolikelihood = -309.37636  (not concave)
Iteration 1011: log pseudolikelihood = -309.37618  (not concave)
Iteration 1012: log pseudolikelihood =   -309.376  (not concave)
Iteration 1013: log pseudolikelihood = -309.37582  (not concave)
Iteration 1014: log pseudolikelihood = -309.37564  (not concave)
Iteration 1015: log pseudolikelihood = -309.37546  (not concave)
Iteration 1016: log pseudolikelihood = -309.37529  (not concave)
Iteration 1017: log pseudolikelihood = -309.37511  (not concave)
Iteration 1018: log pseudolikelihood = -309.37493  (not concave)
Iteration 1019: log pseudolikelihood = -309.37475  (not concave)
Iteration 1020: log pseudolikelihood = -309.37457  (not concave)
Iteration 1021: log pseudolikelihood =  -309.3744  (not concave)
Iteration 1022: log pseudolikelihood = -309.37422  (not concave)
Iteration 1023: log pseudolikelihood = -309.37404  (not concave)
Iteration 1024: log pseudolikelihood = -309.37386  (not concave)
Iteration 1025: log pseudolikelihood = -309.37369  (not concave)
Iteration 1026: log pseudolikelihood = -309.37351  (not concave)
Iteration 1027: log pseudolikelihood = -309.37333  (not concave)
Iteration 1028: log pseudolikelihood = -309.37315  (not concave)
Iteration 1029: log pseudolikelihood = -309.37298  (not concave)
Iteration 1030: log pseudolikelihood =  -309.3728  (not concave)
Iteration 1031: log pseudolikelihood = -309.37262  (not concave)
Iteration 1032: log pseudolikelihood = -309.37244  (not concave)
Iteration 1033: log pseudolikelihood = -309.37227  (not concave)
Iteration 1034: log pseudolikelihood = -309.37209  (not concave)
Iteration 1035: log pseudolikelihood = -309.37191  (not concave)
Iteration 1036: log pseudolikelihood = -309.37174  (not concave)
Iteration 1037: log pseudolikelihood = -309.37156  (not concave)
Iteration 1038: log pseudolikelihood = -309.37138  (not concave)
Iteration 1039: log pseudolikelihood = -309.37121  (not concave)
Iteration 1040: log pseudolikelihood = -309.37103  (not concave)
Iteration 1041: log pseudolikelihood = -309.37085  (not concave)
Iteration 1042: log pseudolikelihood = -309.37068  (not concave)
Iteration 1043: log pseudolikelihood =  -309.3705  (not concave)
Iteration 1044: log pseudolikelihood = -309.37032  (not concave)
Iteration 1045: log pseudolikelihood = -309.37015  (not concave)
Iteration 1046: log pseudolikelihood = -309.36997  (not concave)
Iteration 1047: log pseudolikelihood =  -309.3698  (not concave)
Iteration 1048: log pseudolikelihood = -309.36962  (not concave)
Iteration 1049: log pseudolikelihood = -309.36944  (not concave)
Iteration 1050: log pseudolikelihood = -309.36927  (not concave)
Iteration 1051: log pseudolikelihood = -309.36909  (not concave)
Iteration 1052: log pseudolikelihood = -309.36892  (not concave)
Iteration 1053: log pseudolikelihood = -309.36874  (not concave)
Iteration 1054: log pseudolikelihood = -309.36857  (not concave)
Iteration 1055: log pseudolikelihood = -309.36839  (not concave)
Iteration 1056: log pseudolikelihood = -309.36822  (not concave)
Iteration 1057: log pseudolikelihood = -309.36804  (not concave)
Iteration 1058: log pseudolikelihood = -309.36786  (not concave)
Iteration 1059: log pseudolikelihood = -309.36769  (not concave)
Iteration 1060: log pseudolikelihood = -309.36751  (not concave)
Iteration 1061: log pseudolikelihood = -309.36734  (not concave)
Iteration 1062: log pseudolikelihood = -309.36716  (not concave)
Iteration 1063: log pseudolikelihood = -309.36699  (not concave)
Iteration 1064: log pseudolikelihood = -309.36682  (not concave)
Iteration 1065: log pseudolikelihood = -309.36664  (not concave)
Iteration 1066: log pseudolikelihood = -309.36647  (not concave)
Iteration 1067: log pseudolikelihood = -309.36629  (not concave)
Iteration 1068: log pseudolikelihood = -309.36612  (not concave)
Iteration 1069: log pseudolikelihood = -309.36594  (not concave)
Iteration 1070: log pseudolikelihood = -309.36577  (not concave)
Iteration 1071: log pseudolikelihood = -309.36559  (not concave)
Iteration 1072: log pseudolikelihood = -309.36542  
Iteration 1073: log pseudolikelihood = -309.26412  (backed up)
Iteration 1074: log pseudolikelihood = -309.00568  
Iteration 1075: log pseudolikelihood = -308.95499  
Iteration 1076: log pseudolikelihood = -308.88618  
Iteration 1077: log pseudolikelihood = -308.88456  
Iteration 1078: log pseudolikelihood = -308.88455  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      22.59
Log pseudolikelihood = -308.88455               Prob > chi2       =     0.0469

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   6.314447    5.55333     1.14   0.256    -4.569879    17.19877
     capcheither20 |   7.938365   6.106765     1.30   0.194    -4.030675     19.9074
   regchangeeither |   1.920841   1.824529     1.05   0.292     -1.65517    5.496852
      chTEAltorBmt |    2.06868   1.840723     1.12   0.261    -1.539071     5.67643
           alformA |   7.226094   5.519075     1.31   0.190    -3.591095    18.04328
             demdA |   1.477904   1.736376     0.85   0.395    -1.925331    4.881139
         asymmetry |  -.8916171   1.198769    -0.74   0.457    -3.241161    1.457927
          nomicoop |   -2.24841   1.199722    -1.87   0.061    -4.599821    .1030015
            treaty |  -.0075141    1.67653    -0.00   0.996    -3.293452    3.278424
           milinst |   7.712704   4.612249     1.67   0.094    -1.327139    16.75255
              time |  -.0840079   .2905284    -0.29   0.772     -.653433    .4854172
        timesquare |  -.0095224   .0119174    -0.80   0.424    -.0328801    .0138353
          timecube |   .0001652   .0001581     1.05   0.296    -.0001447    .0004751
             _cons |  -7.177841   6.542565    -1.10   0.273    -20.00103    5.645352
-------------------+----------------------------------------------------------------
G                  |
    TerrThreatAvg2 |   .5144964   .1419106     3.63   0.000     .2363568     .792636
num_dems_on_border |  -.3050248   .1168021    -2.61   0.009    -.5339527    -.076097
       num_borders |   .1319161   .0499984     2.64   0.008      .033921    .2299112
           coldwar |   .3534645   .2738753     1.29   0.197    -.1833211    .8902502
       Lenergy_pop |  -.1650696   .0761468    -2.17   0.030    -.3143146   -.0158246
           Oil_exp |   .4617789   .3688762     1.25   0.211    -.2612052    1.184763
           maj_pow |   .1659728   .4010836     0.41   0.679    -.6201367    .9520823
         kgd_rival |   .2985184   .3834734     0.78   0.436    -.4530757    1.050113
             _cons |  -4.813275   .4041082   -11.91   0.000    -5.605312   -4.021237
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -552.30009
rescale:       log pseudolikelihood = -339.62348
rescale eq:    log pseudolikelihood = -339.62348

initial:       log pseudolikelihood = -339.62348
rescale:       log pseudolikelihood = -339.62348
rescale eq:    log pseudolikelihood = -339.62348
Iteration 0:   log pseudolikelihood = -339.62348  
Iteration 1:   log pseudolikelihood = -321.62295  (not concave)
Iteration 2:   log pseudolikelihood = -321.07461  (not concave)
Iteration 3:   log pseudolikelihood = -320.78934  (not concave)
Iteration 4:   log pseudolikelihood = -320.57199  (not concave)
Iteration 5:   log pseudolikelihood = -320.39207  (not concave)
Iteration 6:   log pseudolikelihood = -320.29644  (not concave)
Iteration 7:   log pseudolikelihood = -320.21749  (not concave)
Iteration 8:   log pseudolikelihood = -320.14354  (not concave)
Iteration 9:   log pseudolikelihood = -320.05674  (not concave)
Iteration 10:  log pseudolikelihood = -319.92642  (not concave)
Iteration 11:  log pseudolikelihood = -319.84195  (not concave)
Iteration 12:  log pseudolikelihood = -319.73505  (not concave)
Iteration 13:  log pseudolikelihood = -319.66567  (not concave)
Iteration 14:  log pseudolikelihood = -319.59347  (not concave)
Iteration 15:  log pseudolikelihood = -318.68499  
Iteration 16:  log pseudolikelihood = -315.19988  
Iteration 17:  log pseudolikelihood = -310.99164  
Iteration 18:  log pseudolikelihood = -310.05953  (not concave)
Iteration 19:  log pseudolikelihood = -310.02439  (not concave)
Iteration 20:  log pseudolikelihood = -310.01631  (not concave)
Iteration 21:  log pseudolikelihood = -310.01381  (not concave)
Iteration 22:  log pseudolikelihood = -310.01185  (not concave)
Iteration 23:  log pseudolikelihood = -310.01091  (not concave)
Iteration 24:  log pseudolikelihood = -310.01032  (not concave)
Iteration 25:  log pseudolikelihood = -310.00981  (not concave)
Iteration 26:  log pseudolikelihood = -310.00927  (not concave)
Iteration 27:  log pseudolikelihood =  -310.0088  (not concave)
Iteration 28:  log pseudolikelihood = -310.00837  (not concave)
Iteration 29:  log pseudolikelihood = -310.00793  (not concave)
Iteration 30:  log pseudolikelihood = -310.00751  (not concave)
Iteration 31:  log pseudolikelihood = -310.00711  (not concave)
Iteration 32:  log pseudolikelihood = -310.00672  (not concave)
Iteration 33:  log pseudolikelihood = -310.00634  (not concave)
Iteration 34:  log pseudolikelihood = -310.00597  (not concave)
Iteration 35:  log pseudolikelihood = -310.00561  (not concave)
Iteration 36:  log pseudolikelihood = -310.00525  (not concave)
Iteration 37:  log pseudolikelihood = -310.00491  (not concave)
Iteration 38:  log pseudolikelihood = -310.00457  (not concave)
Iteration 39:  log pseudolikelihood = -310.00424  (not concave)
Iteration 40:  log pseudolikelihood = -310.00392  (not concave)
Iteration 41:  log pseudolikelihood =  -310.0036  (not concave)
Iteration 42:  log pseudolikelihood = -310.00329  (not concave)
Iteration 43:  log pseudolikelihood = -310.00298  (not concave)
Iteration 44:  log pseudolikelihood = -310.00268  (not concave)
Iteration 45:  log pseudolikelihood = -310.00238  (not concave)
Iteration 46:  log pseudolikelihood = -310.00209  (not concave)
Iteration 47:  log pseudolikelihood =  -310.0018  (not concave)
Iteration 48:  log pseudolikelihood = -310.00152  (not concave)
Iteration 49:  log pseudolikelihood = -310.00124  (not concave)
Iteration 50:  log pseudolikelihood = -310.00096  (not concave)
Iteration 51:  log pseudolikelihood = -310.00069  (not concave)
Iteration 52:  log pseudolikelihood = -310.00042  (not concave)
Iteration 53:  log pseudolikelihood = -310.00015  (not concave)
Iteration 54:  log pseudolikelihood = -309.99989  (not concave)
Iteration 55:  log pseudolikelihood = -309.99963  (not concave)
Iteration 56:  log pseudolikelihood = -309.99937  (not concave)
Iteration 57:  log pseudolikelihood = -309.99911  (not concave)
Iteration 58:  log pseudolikelihood = -309.99886  (not concave)
Iteration 59:  log pseudolikelihood = -309.99861  (not concave)
Iteration 60:  log pseudolikelihood = -309.99836  (not concave)
Iteration 61:  log pseudolikelihood = -309.99811  (not concave)
Iteration 62:  log pseudolikelihood = -309.99786  (not concave)
Iteration 63:  log pseudolikelihood = -309.99762  (not concave)
Iteration 64:  log pseudolikelihood = -309.99738  (not concave)
Iteration 65:  log pseudolikelihood = -309.99714  (not concave)
Iteration 66:  log pseudolikelihood =  -309.9969  (not concave)
Iteration 67:  log pseudolikelihood = -309.99667  (not concave)
Iteration 68:  log pseudolikelihood = -309.99643  (not concave)
Iteration 69:  log pseudolikelihood =  -309.9962  (not concave)
Iteration 70:  log pseudolikelihood = -309.99597  (not concave)
Iteration 71:  log pseudolikelihood = -309.99574  (not concave)
Iteration 72:  log pseudolikelihood = -309.99551  (not concave)
Iteration 73:  log pseudolikelihood = -309.99529  (not concave)
Iteration 74:  log pseudolikelihood = -309.99506  (not concave)
Iteration 75:  log pseudolikelihood = -309.99484  (not concave)
Iteration 76:  log pseudolikelihood = -309.99462  (not concave)
Iteration 77:  log pseudolikelihood =  -309.9944  (not concave)
Iteration 78:  log pseudolikelihood = -309.99418  (not concave)
Iteration 79:  log pseudolikelihood = -309.99396  (not concave)
Iteration 80:  log pseudolikelihood = -309.99374  (not concave)
Iteration 81:  log pseudolikelihood = -309.99352  (not concave)
Iteration 82:  log pseudolikelihood = -309.99331  (not concave)
Iteration 83:  log pseudolikelihood =  -309.9931  (not concave)
Iteration 84:  log pseudolikelihood = -309.99288  (not concave)
Iteration 85:  log pseudolikelihood = -309.99267  (not concave)
Iteration 86:  log pseudolikelihood = -309.99246  (not concave)
Iteration 87:  log pseudolikelihood = -309.99225  (not concave)
Iteration 88:  log pseudolikelihood = -309.99204  (not concave)
Iteration 89:  log pseudolikelihood = -309.99183  (not concave)
Iteration 90:  log pseudolikelihood = -309.99163  (not concave)
Iteration 91:  log pseudolikelihood = -309.99142  (not concave)
Iteration 92:  log pseudolikelihood = -309.99122  (not concave)
Iteration 93:  log pseudolikelihood = -309.99101  (not concave)
Iteration 94:  log pseudolikelihood = -309.99081  (not concave)
Iteration 95:  log pseudolikelihood = -309.99061  (not concave)
Iteration 96:  log pseudolikelihood = -309.99041  (not concave)
Iteration 97:  log pseudolikelihood = -309.99021  (not concave)
Iteration 98:  log pseudolikelihood = -309.99001  (not concave)
Iteration 99:  log pseudolikelihood = -309.98981  (not concave)
Iteration 100: log pseudolikelihood = -309.98961  (not concave)
Iteration 101: log pseudolikelihood = -309.98942  (not concave)
Iteration 102: log pseudolikelihood = -309.98922  (not concave)
Iteration 103: log pseudolikelihood = -309.98903  (not concave)
Iteration 104: log pseudolikelihood = -309.98883  (not concave)
Iteration 105: log pseudolikelihood = -309.98864  (not concave)
Iteration 106: log pseudolikelihood = -309.98845  (not concave)
Iteration 107: log pseudolikelihood = -309.98825  (not concave)
Iteration 108: log pseudolikelihood = -309.98806  (not concave)
Iteration 109: log pseudolikelihood = -309.98787  (not concave)
Iteration 110: log pseudolikelihood = -309.98768  (not concave)
Iteration 111: log pseudolikelihood = -309.98749  (not concave)
Iteration 112: log pseudolikelihood =  -309.9873  (not concave)
Iteration 113: log pseudolikelihood = -309.98712  (not concave)
Iteration 114: log pseudolikelihood = -309.98693  (not concave)
Iteration 115: log pseudolikelihood = -309.98674  (not concave)
Iteration 116: log pseudolikelihood = -309.98656  (not concave)
Iteration 117: log pseudolikelihood = -309.98637  (not concave)
Iteration 118: log pseudolikelihood = -309.98619  (not concave)
Iteration 119: log pseudolikelihood =   -309.986  (not concave)
Iteration 120: log pseudolikelihood = -309.98582  (not concave)
Iteration 121: log pseudolikelihood = -309.98564  (not concave)
Iteration 122: log pseudolikelihood = -309.98546  (not concave)
Iteration 123: log pseudolikelihood = -309.98528  (not concave)
Iteration 124: log pseudolikelihood = -309.98509  (not concave)
Iteration 125: log pseudolikelihood = -309.98492  (not concave)
Iteration 126: log pseudolikelihood = -309.98474  (not concave)
Iteration 127: log pseudolikelihood = -309.98456  (not concave)
Iteration 128: log pseudolikelihood = -309.98438  (not concave)
Iteration 129: log pseudolikelihood =  -309.9842  (not concave)
Iteration 130: log pseudolikelihood = -309.98402  (not concave)
Iteration 131: log pseudolikelihood = -309.98385  (not concave)
Iteration 132: log pseudolikelihood = -309.98367  (not concave)
Iteration 133: log pseudolikelihood =  -309.9835  (not concave)
Iteration 134: log pseudolikelihood = -309.98332  (not concave)
Iteration 135: log pseudolikelihood = -309.98315  (not concave)
Iteration 136: log pseudolikelihood = -309.98297  (not concave)
Iteration 137: log pseudolikelihood =  -309.9828  (not concave)
Iteration 138: log pseudolikelihood = -309.98263  (not concave)
Iteration 139: log pseudolikelihood = -309.98246  (not concave)
Iteration 140: log pseudolikelihood = -309.98228  (not concave)
Iteration 141: log pseudolikelihood = -309.98211  (not concave)
Iteration 142: log pseudolikelihood = -309.98194  (not concave)
Iteration 143: log pseudolikelihood = -309.98177  (not concave)
Iteration 144: log pseudolikelihood =  -309.9816  (not concave)
Iteration 145: log pseudolikelihood = -309.98143  (not concave)
Iteration 146: log pseudolikelihood = -309.98126  (not concave)
Iteration 147: log pseudolikelihood =  -309.9811  (not concave)
Iteration 148: log pseudolikelihood = -309.98093  (not concave)
Iteration 149: log pseudolikelihood = -309.98076  (not concave)
Iteration 150: log pseudolikelihood = -309.98059  (not concave)
Iteration 151: log pseudolikelihood = -309.98043  (not concave)
Iteration 152: log pseudolikelihood = -309.98026  (not concave)
Iteration 153: log pseudolikelihood =  -309.9801  (not concave)
Iteration 154: log pseudolikelihood = -309.97993  (not concave)
Iteration 155: log pseudolikelihood = -309.97977  (not concave)
Iteration 156: log pseudolikelihood =  -309.9796  (not concave)
Iteration 157: log pseudolikelihood = -309.97944  (not concave)
Iteration 158: log pseudolikelihood = -309.97928  (not concave)
Iteration 159: log pseudolikelihood = -309.97911  (not concave)
Iteration 160: log pseudolikelihood = -309.97895  (not concave)
Iteration 161: log pseudolikelihood = -309.97879  (not concave)
Iteration 162: log pseudolikelihood = -309.97863  (not concave)
Iteration 163: log pseudolikelihood = -309.97847  (not concave)
Iteration 164: log pseudolikelihood = -309.97831  (not concave)
Iteration 165: log pseudolikelihood = -309.97815  (not concave)
Iteration 166: log pseudolikelihood = -309.97799  (not concave)
Iteration 167: log pseudolikelihood = -309.97783  (not concave)
Iteration 168: log pseudolikelihood = -309.97767  (not concave)
Iteration 169: log pseudolikelihood = -309.97751  (not concave)
Iteration 170: log pseudolikelihood = -309.97735  (not concave)
Iteration 171: log pseudolikelihood =  -309.9772  (not concave)
Iteration 172: log pseudolikelihood = -309.97704  (not concave)
Iteration 173: log pseudolikelihood = -309.97688  (not concave)
Iteration 174: log pseudolikelihood = -309.97672  (not concave)
Iteration 175: log pseudolikelihood = -309.97657  (not concave)
Iteration 176: log pseudolikelihood = -309.97641  (not concave)
Iteration 177: log pseudolikelihood = -309.97626  (not concave)
Iteration 178: log pseudolikelihood =  -309.9761  (not concave)
Iteration 179: log pseudolikelihood = -309.97595  (not concave)
Iteration 180: log pseudolikelihood = -309.97579  (not concave)
Iteration 181: log pseudolikelihood = -309.97564  (not concave)
Iteration 182: log pseudolikelihood = -309.97548  (not concave)
Iteration 183: log pseudolikelihood = -309.97533  (not concave)
Iteration 184: log pseudolikelihood = -309.97518  (not concave)
Iteration 185: log pseudolikelihood = -309.97503  (not concave)
Iteration 186: log pseudolikelihood = -309.97487  (not concave)
Iteration 187: log pseudolikelihood = -309.97472  (not concave)
Iteration 188: log pseudolikelihood = -309.97457  (not concave)
Iteration 189: log pseudolikelihood = -309.97442  (not concave)
Iteration 190: log pseudolikelihood = -309.97427  (not concave)
Iteration 191: log pseudolikelihood = -309.97412  (not concave)
Iteration 192: log pseudolikelihood = -309.97397  (not concave)
Iteration 193: log pseudolikelihood = -309.97382  (not concave)
Iteration 194: log pseudolikelihood = -309.97367  (not concave)
Iteration 195: log pseudolikelihood = -309.97352  (not concave)
Iteration 196: log pseudolikelihood = -309.97337  (not concave)
Iteration 197: log pseudolikelihood = -309.97322  (not concave)
Iteration 198: log pseudolikelihood = -309.97307  (not concave)
Iteration 199: log pseudolikelihood = -309.97292  (not concave)
Iteration 200: log pseudolikelihood = -309.97278  (not concave)
Iteration 201: log pseudolikelihood = -309.97263  (not concave)
Iteration 202: log pseudolikelihood = -309.97248  (not concave)
Iteration 203: log pseudolikelihood = -309.97234  (not concave)
Iteration 204: log pseudolikelihood = -309.97219  (not concave)
Iteration 205: log pseudolikelihood = -309.97204  (not concave)
Iteration 206: log pseudolikelihood =  -309.9719  (not concave)
Iteration 207: log pseudolikelihood = -309.97175  (not concave)
Iteration 208: log pseudolikelihood = -309.97161  (not concave)
Iteration 209: log pseudolikelihood = -309.97146  (not concave)
Iteration 210: log pseudolikelihood = -309.97132  (not concave)
Iteration 211: log pseudolikelihood = -309.97117  (not concave)
Iteration 212: log pseudolikelihood = -309.97103  (not concave)
Iteration 213: log pseudolikelihood = -309.97088  (not concave)
Iteration 214: log pseudolikelihood = -309.97074  (not concave)
Iteration 215: log pseudolikelihood =  -309.9706  (not concave)
Iteration 216: log pseudolikelihood = -309.97045  (not concave)
Iteration 217: log pseudolikelihood = -309.97031  (not concave)
Iteration 218: log pseudolikelihood = -309.97017  (not concave)
Iteration 219: log pseudolikelihood = -309.97003  (not concave)
Iteration 220: log pseudolikelihood = -309.96989  (not concave)
Iteration 221: log pseudolikelihood = -309.96974  (not concave)
Iteration 222: log pseudolikelihood =  -309.9696  (not concave)
Iteration 223: log pseudolikelihood = -309.96946  (not concave)
Iteration 224: log pseudolikelihood = -309.96932  (not concave)
Iteration 225: log pseudolikelihood = -309.96918  (not concave)
Iteration 226: log pseudolikelihood = -309.96904  (not concave)
Iteration 227: log pseudolikelihood =  -309.9689  (not concave)
Iteration 228: log pseudolikelihood = -309.96876  (not concave)
Iteration 229: log pseudolikelihood = -309.96862  (not concave)
Iteration 230: log pseudolikelihood = -309.96848  (not concave)
Iteration 231: log pseudolikelihood = -309.96834  (not concave)
Iteration 232: log pseudolikelihood =  -309.9682  (not concave)
Iteration 233: log pseudolikelihood = -309.96806  (not concave)
Iteration 234: log pseudolikelihood = -309.96793  (not concave)
Iteration 235: log pseudolikelihood = -309.96779  (not concave)
Iteration 236: log pseudolikelihood = -309.96765  (not concave)
Iteration 237: log pseudolikelihood = -309.96751  (not concave)
Iteration 238: log pseudolikelihood = -309.96737  (not concave)
Iteration 239: log pseudolikelihood = -309.96724  (not concave)
Iteration 240: log pseudolikelihood =  -309.9671  (not concave)
Iteration 241: log pseudolikelihood = -309.96696  (not concave)
Iteration 242: log pseudolikelihood = -309.96683  (not concave)
Iteration 243: log pseudolikelihood = -309.96669  (not concave)
Iteration 244: log pseudolikelihood = -309.96656  (not concave)
Iteration 245: log pseudolikelihood = -309.96642  (not concave)
Iteration 246: log pseudolikelihood = -309.96628  (not concave)
Iteration 247: log pseudolikelihood = -309.96615  (not concave)
Iteration 248: log pseudolikelihood = -309.96601  (not concave)
Iteration 249: log pseudolikelihood = -309.96588  (not concave)
Iteration 250: log pseudolikelihood = -309.96574  (not concave)
Iteration 251: log pseudolikelihood = -309.96561  (not concave)
Iteration 252: log pseudolikelihood = -309.96548  (not concave)
Iteration 253: log pseudolikelihood = -309.96534  (not concave)
Iteration 254: log pseudolikelihood = -309.96521  (not concave)
Iteration 255: log pseudolikelihood = -309.96507  (not concave)
Iteration 256: log pseudolikelihood = -309.96494  (not concave)
Iteration 257: log pseudolikelihood = -309.96481  (not concave)
Iteration 258: log pseudolikelihood = -309.96467  (not concave)
Iteration 259: log pseudolikelihood = -309.96454  (not concave)
Iteration 260: log pseudolikelihood = -309.96441  (not concave)
Iteration 261: log pseudolikelihood = -309.96428  (not concave)
Iteration 262: log pseudolikelihood = -309.96414  (not concave)
Iteration 263: log pseudolikelihood = -309.96401  (not concave)
Iteration 264: log pseudolikelihood = -309.96388  (not concave)
Iteration 265: log pseudolikelihood = -309.96375  (not concave)
Iteration 266: log pseudolikelihood = -309.96362  (not concave)
Iteration 267: log pseudolikelihood = -309.96349  (not concave)
Iteration 268: log pseudolikelihood = -309.96335  (not concave)
Iteration 269: log pseudolikelihood = -309.96322  (not concave)
Iteration 270: log pseudolikelihood = -309.96309  (not concave)
Iteration 271: log pseudolikelihood = -309.96296  (not concave)
Iteration 272: log pseudolikelihood = -309.96283  (not concave)
Iteration 273: log pseudolikelihood =  -309.9627  (not concave)
Iteration 274: log pseudolikelihood = -309.96257  (not concave)
Iteration 275: log pseudolikelihood = -309.96244  (not concave)
Iteration 276: log pseudolikelihood = -309.96231  (not concave)
Iteration 277: log pseudolikelihood = -309.96218  (not concave)
Iteration 278: log pseudolikelihood = -309.96205  (not concave)
Iteration 279: log pseudolikelihood = -309.96193  (not concave)
Iteration 280: log pseudolikelihood =  -309.9618  (not concave)
Iteration 281: log pseudolikelihood = -309.96167  (not concave)
Iteration 282: log pseudolikelihood = -309.96154  (not concave)
Iteration 283: log pseudolikelihood = -309.96141  (not concave)
Iteration 284: log pseudolikelihood = -309.96128  (not concave)
Iteration 285: log pseudolikelihood = -309.96116  (not concave)
Iteration 286: log pseudolikelihood = -309.96103  (not concave)
Iteration 287: log pseudolikelihood =  -309.9609  (not concave)
Iteration 288: log pseudolikelihood = -309.96077  (not concave)
Iteration 289: log pseudolikelihood = -309.96065  (not concave)
Iteration 290: log pseudolikelihood = -309.96052  (not concave)
Iteration 291: log pseudolikelihood = -309.96039  (not concave)
Iteration 292: log pseudolikelihood = -309.96026  (not concave)
Iteration 293: log pseudolikelihood = -309.96014  (not concave)
Iteration 294: log pseudolikelihood = -309.96001  (not concave)
Iteration 295: log pseudolikelihood = -309.95989  (not concave)
Iteration 296: log pseudolikelihood = -309.95976  (not concave)
Iteration 297: log pseudolikelihood = -309.95963  (not concave)
Iteration 298: log pseudolikelihood = -309.95951  (not concave)
Iteration 299: log pseudolikelihood = -309.95938  (not concave)
Iteration 300: log pseudolikelihood = -309.95926  (not concave)
Iteration 301: log pseudolikelihood = -309.95913  (not concave)
Iteration 302: log pseudolikelihood = -309.95901  (not concave)
Iteration 303: log pseudolikelihood = -309.95888  (not concave)
Iteration 304: log pseudolikelihood = -309.95876  (not concave)
Iteration 305: log pseudolikelihood = -309.95863  (not concave)
Iteration 306: log pseudolikelihood = -309.95851  (not concave)
Iteration 307: log pseudolikelihood = -309.95838  (not concave)
Iteration 308: log pseudolikelihood = -309.95826  (not concave)
Iteration 309: log pseudolikelihood = -309.95813  (not concave)
Iteration 310: log pseudolikelihood = -309.95801  (not concave)
Iteration 311: log pseudolikelihood = -309.95789  (not concave)
Iteration 312: log pseudolikelihood = -309.95776  (not concave)
Iteration 313: log pseudolikelihood = -309.95764  (not concave)
Iteration 314: log pseudolikelihood = -309.95751  (not concave)
Iteration 315: log pseudolikelihood = -309.95739  (not concave)
Iteration 316: log pseudolikelihood = -309.95727  (not concave)
Iteration 317: log pseudolikelihood = -309.95715  (not concave)
Iteration 318: log pseudolikelihood = -309.95702  (not concave)
Iteration 319: log pseudolikelihood =  -309.9569  (not concave)
Iteration 320: log pseudolikelihood = -309.95678  (not concave)
Iteration 321: log pseudolikelihood = -309.95665  (not concave)
Iteration 322: log pseudolikelihood = -309.95653  (not concave)
Iteration 323: log pseudolikelihood = -309.95641  (not concave)
Iteration 324: log pseudolikelihood = -309.95629  (not concave)
Iteration 325: log pseudolikelihood = -309.95617  (not concave)
Iteration 326: log pseudolikelihood = -309.95604  (not concave)
Iteration 327: log pseudolikelihood = -309.95592  (not concave)
Iteration 328: log pseudolikelihood =  -309.9558  (not concave)
Iteration 329: log pseudolikelihood = -309.95568  (not concave)
Iteration 330: log pseudolikelihood = -309.95556  (not concave)
Iteration 331: log pseudolikelihood = -309.95544  (not concave)
Iteration 332: log pseudolikelihood = -309.95532  (not concave)
Iteration 333: log pseudolikelihood =  -309.9552  (not concave)
Iteration 334: log pseudolikelihood = -309.95507  (not concave)
Iteration 335: log pseudolikelihood = -309.95495  (not concave)
Iteration 336: log pseudolikelihood = -309.95483  (not concave)
Iteration 337: log pseudolikelihood = -309.95471  (not concave)
Iteration 338: log pseudolikelihood = -309.95459  (not concave)
Iteration 339: log pseudolikelihood = -309.95447  (not concave)
Iteration 340: log pseudolikelihood = -309.95435  (not concave)
Iteration 341: log pseudolikelihood = -309.95423  (not concave)
Iteration 342: log pseudolikelihood = -309.95411  (not concave)
Iteration 343: log pseudolikelihood = -309.95399  (not concave)
Iteration 344: log pseudolikelihood = -309.95387  (not concave)
Iteration 345: log pseudolikelihood = -309.95375  (not concave)
Iteration 346: log pseudolikelihood = -309.95363  (not concave)
Iteration 347: log pseudolikelihood = -309.95352  (not concave)
Iteration 348: log pseudolikelihood =  -309.9534  (not concave)
Iteration 349: log pseudolikelihood = -309.95328  (not concave)
Iteration 350: log pseudolikelihood = -309.95316  (not concave)
Iteration 351: log pseudolikelihood = -309.95304  (not concave)
Iteration 352: log pseudolikelihood = -309.95292  (not concave)
Iteration 353: log pseudolikelihood =  -309.9528  (not concave)
Iteration 354: log pseudolikelihood = -309.95268  (not concave)
Iteration 355: log pseudolikelihood = -309.95257  (not concave)
Iteration 356: log pseudolikelihood = -309.95245  (not concave)
Iteration 357: log pseudolikelihood = -309.95233  (not concave)
Iteration 358: log pseudolikelihood = -309.95221  (not concave)
Iteration 359: log pseudolikelihood = -309.95209  (not concave)
Iteration 360: log pseudolikelihood = -309.95197  (not concave)
Iteration 361: log pseudolikelihood = -309.95186  (not concave)
Iteration 362: log pseudolikelihood = -309.95174  (not concave)
Iteration 363: log pseudolikelihood = -309.95162  (not concave)
Iteration 364: log pseudolikelihood =  -309.9515  (not concave)
Iteration 365: log pseudolikelihood = -309.95139  (not concave)
Iteration 366: log pseudolikelihood = -309.95127  (not concave)
Iteration 367: log pseudolikelihood = -309.95115  (not concave)
Iteration 368: log pseudolikelihood = -309.95104  (not concave)
Iteration 369: log pseudolikelihood = -309.95092  (not concave)
Iteration 370: log pseudolikelihood =  -309.9508  (not concave)
Iteration 371: log pseudolikelihood = -309.95069  (not concave)
Iteration 372: log pseudolikelihood = -309.95057  (not concave)
Iteration 373: log pseudolikelihood = -309.95045  (not concave)
Iteration 374: log pseudolikelihood = -309.95034  (not concave)
Iteration 375: log pseudolikelihood = -309.95022  (not concave)
Iteration 376: log pseudolikelihood =  -309.9501  (not concave)
Iteration 377: log pseudolikelihood = -309.94999  (not concave)
Iteration 378: log pseudolikelihood = -309.94987  (not concave)
Iteration 379: log pseudolikelihood = -309.94975  (not concave)
Iteration 380: log pseudolikelihood = -309.94964  (not concave)
Iteration 381: log pseudolikelihood = -309.94952  (not concave)
Iteration 382: log pseudolikelihood = -309.94941  (not concave)
Iteration 383: log pseudolikelihood = -309.94929  (not concave)
Iteration 384: log pseudolikelihood = -309.94918  (not concave)
Iteration 385: log pseudolikelihood = -309.94906  (not concave)
Iteration 386: log pseudolikelihood = -309.94894  (not concave)
Iteration 387: log pseudolikelihood = -309.94883  (not concave)
Iteration 388: log pseudolikelihood = -309.94871  (not concave)
Iteration 389: log pseudolikelihood =  -309.9486  (not concave)
Iteration 390: log pseudolikelihood = -309.94848  (not concave)
Iteration 391: log pseudolikelihood = -309.94837  (not concave)
Iteration 392: log pseudolikelihood = -309.94825  (not concave)
Iteration 393: log pseudolikelihood = -309.94814  (not concave)
Iteration 394: log pseudolikelihood = -309.94802  (not concave)
Iteration 395: log pseudolikelihood = -309.94791  (not concave)
Iteration 396: log pseudolikelihood =  -309.9478  (not concave)
Iteration 397: log pseudolikelihood = -309.94768  (not concave)
Iteration 398: log pseudolikelihood = -309.94757  (not concave)
Iteration 399: log pseudolikelihood = -309.94745  (not concave)
Iteration 400: log pseudolikelihood = -309.94734  (not concave)
Iteration 401: log pseudolikelihood = -309.94722  (not concave)
Iteration 402: log pseudolikelihood = -309.94711  (not concave)
Iteration 403: log pseudolikelihood =   -309.947  (not concave)
Iteration 404: log pseudolikelihood = -309.94688  (not concave)
Iteration 405: log pseudolikelihood = -309.94677  (not concave)
Iteration 406: log pseudolikelihood = -309.94665  (not concave)
Iteration 407: log pseudolikelihood = -309.94654  (not concave)
Iteration 408: log pseudolikelihood = -309.94643  (not concave)
Iteration 409: log pseudolikelihood = -309.94631  (not concave)
Iteration 410: log pseudolikelihood =  -309.9462  (not concave)
Iteration 411: log pseudolikelihood = -309.94609  (not concave)
Iteration 412: log pseudolikelihood = -309.94597  (not concave)
Iteration 413: log pseudolikelihood = -309.94586  (not concave)
Iteration 414: log pseudolikelihood = -309.94575  (not concave)
Iteration 415: log pseudolikelihood = -309.94563  (not concave)
Iteration 416: log pseudolikelihood = -309.94552  (not concave)
Iteration 417: log pseudolikelihood = -309.94541  (not concave)
Iteration 418: log pseudolikelihood = -309.94529  (not concave)
Iteration 419: log pseudolikelihood = -309.94518  (not concave)
Iteration 420: log pseudolikelihood = -309.94507  (not concave)
Iteration 421: log pseudolikelihood = -309.94495  (not concave)
Iteration 422: log pseudolikelihood = -309.94484  (not concave)
Iteration 423: log pseudolikelihood = -309.94473  (not concave)
Iteration 424: log pseudolikelihood = -309.94462  (not concave)
Iteration 425: log pseudolikelihood =  -309.9445  (not concave)
Iteration 426: log pseudolikelihood = -309.94439  (not concave)
Iteration 427: log pseudolikelihood = -309.94428  (not concave)
Iteration 428: log pseudolikelihood = -309.94417  (not concave)
Iteration 429: log pseudolikelihood = -309.94405  (not concave)
Iteration 430: log pseudolikelihood = -309.94394  (not concave)
Iteration 431: log pseudolikelihood = -309.94383  (not concave)
Iteration 432: log pseudolikelihood = -309.94372  (not concave)
Iteration 433: log pseudolikelihood = -309.94361  (not concave)
Iteration 434: log pseudolikelihood = -309.94349  (not concave)
Iteration 435: log pseudolikelihood = -309.94338  (not concave)
Iteration 436: log pseudolikelihood = -309.94327  (not concave)
Iteration 437: log pseudolikelihood = -309.94316  (not concave)
Iteration 438: log pseudolikelihood = -309.94305  (not concave)
Iteration 439: log pseudolikelihood = -309.94293  (not concave)
Iteration 440: log pseudolikelihood = -309.94282  (not concave)
Iteration 441: log pseudolikelihood = -309.94271  (not concave)
Iteration 442: log pseudolikelihood =  -309.9426  (not concave)
Iteration 443: log pseudolikelihood = -309.94249  (not concave)
Iteration 444: log pseudolikelihood = -309.94238  (not concave)
Iteration 445: log pseudolikelihood = -309.94226  (not concave)
Iteration 446: log pseudolikelihood = -309.94215  (not concave)
Iteration 447: log pseudolikelihood = -309.94204  (not concave)
Iteration 448: log pseudolikelihood = -309.94193  (not concave)
Iteration 449: log pseudolikelihood = -309.94182  (not concave)
Iteration 450: log pseudolikelihood = -309.94171  (not concave)
Iteration 451: log pseudolikelihood =  -309.9416  (not concave)
Iteration 452: log pseudolikelihood = -309.94149  (not concave)
Iteration 453: log pseudolikelihood = -309.94138  (not concave)
Iteration 454: log pseudolikelihood = -309.94126  (not concave)
Iteration 455: log pseudolikelihood = -309.94115  (not concave)
Iteration 456: log pseudolikelihood = -309.94104  (not concave)
Iteration 457: log pseudolikelihood = -309.94093  (not concave)
Iteration 458: log pseudolikelihood = -309.94082  (not concave)
Iteration 459: log pseudolikelihood = -309.94071  (not concave)
Iteration 460: log pseudolikelihood =  -309.9406  (not concave)
Iteration 461: log pseudolikelihood = -309.94049  (not concave)
Iteration 462: log pseudolikelihood = -309.94038  (not concave)
Iteration 463: log pseudolikelihood = -309.94027  (not concave)
Iteration 464: log pseudolikelihood = -309.94016  (not concave)
Iteration 465: log pseudolikelihood = -309.94005  (not concave)
Iteration 466: log pseudolikelihood = -309.93994  (not concave)
Iteration 467: log pseudolikelihood = -309.93983  (not concave)
Iteration 468: log pseudolikelihood = -309.93972  (not concave)
Iteration 469: log pseudolikelihood =  -309.9396  (not concave)
Iteration 470: log pseudolikelihood = -309.93949  (not concave)
Iteration 471: log pseudolikelihood = -309.93938  (not concave)
Iteration 472: log pseudolikelihood = -309.93927  (not concave)
Iteration 473: log pseudolikelihood = -309.93916  (not concave)
Iteration 474: log pseudolikelihood = -309.93905  (not concave)
Iteration 475: log pseudolikelihood = -309.93894  (not concave)
Iteration 476: log pseudolikelihood = -309.93883  (not concave)
Iteration 477: log pseudolikelihood = -309.93872  (not concave)
Iteration 478: log pseudolikelihood = -309.93861  (not concave)
Iteration 479: log pseudolikelihood =  -309.9385  (not concave)
Iteration 480: log pseudolikelihood = -309.93839  (not concave)
Iteration 481: log pseudolikelihood = -309.93828  (not concave)
Iteration 482: log pseudolikelihood = -309.93817  (not concave)
Iteration 483: log pseudolikelihood = -309.93806  (not concave)
Iteration 484: log pseudolikelihood = -309.93795  (not concave)
Iteration 485: log pseudolikelihood = -309.93784  (not concave)
Iteration 486: log pseudolikelihood = -309.93773  (not concave)
Iteration 487: log pseudolikelihood = -309.93762  (not concave)
Iteration 488: log pseudolikelihood = -309.93751  (not concave)
Iteration 489: log pseudolikelihood = -309.93741  (not concave)
Iteration 490: log pseudolikelihood =  -309.9373  (not concave)
Iteration 491: log pseudolikelihood = -309.93719  (not concave)
Iteration 492: log pseudolikelihood = -309.93708  (not concave)
Iteration 493: log pseudolikelihood = -309.93697  (not concave)
Iteration 494: log pseudolikelihood = -309.93686  (not concave)
Iteration 495: log pseudolikelihood = -309.93675  (not concave)
Iteration 496: log pseudolikelihood = -309.93664  (not concave)
Iteration 497: log pseudolikelihood = -309.93653  (not concave)
Iteration 498: log pseudolikelihood = -309.93642  (not concave)
Iteration 499: log pseudolikelihood = -309.93631  (not concave)
Iteration 500: log pseudolikelihood =  -309.9362  (not concave)
Iteration 501: log pseudolikelihood = -309.93609  (not concave)
Iteration 502: log pseudolikelihood = -309.93598  (not concave)
Iteration 503: log pseudolikelihood = -309.93587  (not concave)
Iteration 504: log pseudolikelihood = -309.93576  (not concave)
Iteration 505: log pseudolikelihood = -309.93565  (not concave)
Iteration 506: log pseudolikelihood = -309.93554  (not concave)
Iteration 507: log pseudolikelihood = -309.93544  (not concave)
Iteration 508: log pseudolikelihood = -309.93533  (not concave)
Iteration 509: log pseudolikelihood = -309.93522  (not concave)
Iteration 510: log pseudolikelihood = -309.93511  (not concave)
Iteration 511: log pseudolikelihood =   -309.935  (not concave)
Iteration 512: log pseudolikelihood = -309.93489  (not concave)
Iteration 513: log pseudolikelihood = -309.93478  (not concave)
Iteration 514: log pseudolikelihood = -309.93467  (not concave)
Iteration 515: log pseudolikelihood = -309.93456  (not concave)
Iteration 516: log pseudolikelihood = -309.93445  (not concave)
Iteration 517: log pseudolikelihood = -309.93434  (not concave)
Iteration 518: log pseudolikelihood = -309.93424  (not concave)
Iteration 519: log pseudolikelihood = -309.93413  (not concave)
Iteration 520: log pseudolikelihood = -309.93402  (not concave)
Iteration 521: log pseudolikelihood = -309.93391  (not concave)
Iteration 522: log pseudolikelihood =  -309.9338  (not concave)
Iteration 523: log pseudolikelihood = -309.93369  (not concave)
Iteration 524: log pseudolikelihood = -309.93358  (not concave)
Iteration 525: log pseudolikelihood = -309.93347  (not concave)
Iteration 526: log pseudolikelihood = -309.93336  (not concave)
Iteration 527: log pseudolikelihood = -309.93326  (not concave)
Iteration 528: log pseudolikelihood = -309.93315  (not concave)
Iteration 529: log pseudolikelihood = -309.93304  (not concave)
Iteration 530: log pseudolikelihood = -309.93293  (not concave)
Iteration 531: log pseudolikelihood = -309.93282  (not concave)
Iteration 532: log pseudolikelihood = -309.93271  (not concave)
Iteration 533: log pseudolikelihood =  -309.9326  (not concave)
Iteration 534: log pseudolikelihood = -309.93249  (not concave)
Iteration 535: log pseudolikelihood = -309.93239  (not concave)
Iteration 536: log pseudolikelihood = -309.93228  (not concave)
Iteration 537: log pseudolikelihood = -309.93217  (not concave)
Iteration 538: log pseudolikelihood = -309.93206  (not concave)
Iteration 539: log pseudolikelihood = -309.93195  (not concave)
Iteration 540: log pseudolikelihood = -309.93184  (not concave)
Iteration 541: log pseudolikelihood = -309.93173  (not concave)
Iteration 542: log pseudolikelihood = -309.93162  (not concave)
Iteration 543: log pseudolikelihood = -309.93152  (not concave)
Iteration 544: log pseudolikelihood = -309.93141  (not concave)
Iteration 545: log pseudolikelihood =  -309.9313  (not concave)
Iteration 546: log pseudolikelihood = -309.93119  (not concave)
Iteration 547: log pseudolikelihood = -309.93108  (not concave)
Iteration 548: log pseudolikelihood = -309.93097  (not concave)
Iteration 549: log pseudolikelihood = -309.93086  (not concave)
Iteration 550: log pseudolikelihood = -309.93075  (not concave)
Iteration 551: log pseudolikelihood = -309.93065  (not concave)
Iteration 552: log pseudolikelihood = -309.93054  (not concave)
Iteration 553: log pseudolikelihood = -309.93043  (not concave)
Iteration 554: log pseudolikelihood = -309.93032  (not concave)
Iteration 555: log pseudolikelihood = -309.93021  (not concave)
Iteration 556: log pseudolikelihood =  -309.9301  (not concave)
Iteration 557: log pseudolikelihood = -309.92999  (not concave)
Iteration 558: log pseudolikelihood = -309.92989  (not concave)
Iteration 559: log pseudolikelihood = -309.92978  (not concave)
Iteration 560: log pseudolikelihood = -309.92967  (not concave)
Iteration 561: log pseudolikelihood = -309.92956  (not concave)
Iteration 562: log pseudolikelihood = -309.92945  (not concave)
Iteration 563: log pseudolikelihood = -309.92934  (not concave)
Iteration 564: log pseudolikelihood = -309.92923  (not concave)
Iteration 565: log pseudolikelihood = -309.92913  (not concave)
Iteration 566: log pseudolikelihood = -309.92902  (not concave)
Iteration 567: log pseudolikelihood = -309.92891  (not concave)
Iteration 568: log pseudolikelihood =  -309.9288  (not concave)
Iteration 569: log pseudolikelihood = -309.92869  (not concave)
Iteration 570: log pseudolikelihood = -309.92858  (not concave)
Iteration 571: log pseudolikelihood = -309.92847  (not concave)
Iteration 572: log pseudolikelihood = -309.92837  (not concave)
Iteration 573: log pseudolikelihood = -309.92826  (not concave)
Iteration 574: log pseudolikelihood = -309.92815  (not concave)
Iteration 575: log pseudolikelihood = -309.92804  (not concave)
Iteration 576: log pseudolikelihood = -309.92793  (not concave)
Iteration 577: log pseudolikelihood = -309.92782  (not concave)
Iteration 578: log pseudolikelihood = -309.92771  (not concave)
Iteration 579: log pseudolikelihood =  -309.9276  (not concave)
Iteration 580: log pseudolikelihood =  -309.9275  (not concave)
Iteration 581: log pseudolikelihood = -309.92739  (not concave)
Iteration 582: log pseudolikelihood = -309.92728  (not concave)
Iteration 583: log pseudolikelihood = -309.92717  (not concave)
Iteration 584: log pseudolikelihood = -309.92706  (not concave)
Iteration 585: log pseudolikelihood = -309.92695  (not concave)
Iteration 586: log pseudolikelihood = -309.92684  (not concave)
Iteration 587: log pseudolikelihood = -309.92674  (not concave)
Iteration 588: log pseudolikelihood = -309.92663  (not concave)
Iteration 589: log pseudolikelihood = -309.92652  (not concave)
Iteration 590: log pseudolikelihood = -309.92641  (not concave)
Iteration 591: log pseudolikelihood =  -309.9263  (not concave)
Iteration 592: log pseudolikelihood = -309.92619  (not concave)
Iteration 593: log pseudolikelihood = -309.92608  (not concave)
Iteration 594: log pseudolikelihood = -309.92597  (not concave)
Iteration 595: log pseudolikelihood = -309.92587  (not concave)
Iteration 596: log pseudolikelihood = -309.92576  (not concave)
Iteration 597: log pseudolikelihood = -309.92565  (not concave)
Iteration 598: log pseudolikelihood = -309.92554  (not concave)
Iteration 599: log pseudolikelihood = -309.92543  (not concave)
Iteration 600: log pseudolikelihood = -309.92532  (not concave)
Iteration 601: log pseudolikelihood = -309.92521  (not concave)
Iteration 602: log pseudolikelihood =  -309.9251  (not concave)
Iteration 603: log pseudolikelihood = -309.92499  (not concave)
Iteration 604: log pseudolikelihood = -309.92489  (not concave)
Iteration 605: log pseudolikelihood = -309.92478  (not concave)
Iteration 606: log pseudolikelihood = -309.92467  (not concave)
Iteration 607: log pseudolikelihood = -309.92456  (not concave)
Iteration 608: log pseudolikelihood = -309.92445  (not concave)
Iteration 609: log pseudolikelihood = -309.92434  (not concave)
Iteration 610: log pseudolikelihood = -309.92423  (not concave)
Iteration 611: log pseudolikelihood = -309.92412  (not concave)
Iteration 612: log pseudolikelihood = -309.92401  (not concave)
Iteration 613: log pseudolikelihood = -309.92391  (not concave)
Iteration 614: log pseudolikelihood =  -309.9238  (not concave)
Iteration 615: log pseudolikelihood = -309.92369  (not concave)
Iteration 616: log pseudolikelihood = -309.92358  (not concave)
Iteration 617: log pseudolikelihood = -309.92347  (not concave)
Iteration 618: log pseudolikelihood = -309.92336  (not concave)
Iteration 619: log pseudolikelihood = -309.92325  (not concave)
Iteration 620: log pseudolikelihood = -309.92314  (not concave)
Iteration 621: log pseudolikelihood = -309.92303  (not concave)
Iteration 622: log pseudolikelihood = -309.92292  (not concave)
Iteration 623: log pseudolikelihood = -309.92281  (not concave)
Iteration 624: log pseudolikelihood =  -309.9227  (not concave)
Iteration 625: log pseudolikelihood =  -309.9226  (not concave)
Iteration 626: log pseudolikelihood = -309.92249  (not concave)
Iteration 627: log pseudolikelihood = -309.92238  (not concave)
Iteration 628: log pseudolikelihood = -309.92227  (not concave)
Iteration 629: log pseudolikelihood = -309.92216  (not concave)
Iteration 630: log pseudolikelihood = -309.92205  (not concave)
Iteration 631: log pseudolikelihood = -309.92194  (not concave)
Iteration 632: log pseudolikelihood = -309.92183  (not concave)
Iteration 633: log pseudolikelihood = -309.92172  (not concave)
Iteration 634: log pseudolikelihood = -309.92161  (not concave)
Iteration 635: log pseudolikelihood =  -309.9215  (not concave)
Iteration 636: log pseudolikelihood = -309.92139  (not concave)
Iteration 637: log pseudolikelihood = -309.92128  (not concave)
Iteration 638: log pseudolikelihood = -309.92117  (not concave)
Iteration 639: log pseudolikelihood = -309.92106  (not concave)
Iteration 640: log pseudolikelihood = -309.92095  (not concave)
Iteration 641: log pseudolikelihood = -309.92084  (not concave)
Iteration 642: log pseudolikelihood = -309.92073  (not concave)
Iteration 643: log pseudolikelihood = -309.92062  (not concave)
Iteration 644: log pseudolikelihood = -309.92051  (not concave)
Iteration 645: log pseudolikelihood = -309.92041  (not concave)
Iteration 646: log pseudolikelihood =  -309.9203  (not concave)
Iteration 647: log pseudolikelihood = -309.92019  (not concave)
Iteration 648: log pseudolikelihood = -309.92008  (not concave)
Iteration 649: log pseudolikelihood = -309.91997  (not concave)
Iteration 650: log pseudolikelihood = -309.91986  (not concave)
Iteration 651: log pseudolikelihood = -309.91975  (not concave)
Iteration 652: log pseudolikelihood = -309.91964  (not concave)
Iteration 653: log pseudolikelihood = -309.91953  (not concave)
Iteration 654: log pseudolikelihood = -309.91942  (not concave)
Iteration 655: log pseudolikelihood = -309.91931  (not concave)
Iteration 656: log pseudolikelihood =  -309.9192  (not concave)
Iteration 657: log pseudolikelihood = -309.91909  (not concave)
Iteration 658: log pseudolikelihood = -309.91898  (not concave)
Iteration 659: log pseudolikelihood = -309.91887  (not concave)
Iteration 660: log pseudolikelihood = -309.91876  (not concave)
Iteration 661: log pseudolikelihood = -309.91865  (not concave)
Iteration 662: log pseudolikelihood = -309.91854  (not concave)
Iteration 663: log pseudolikelihood = -309.91843  (not concave)
Iteration 664: log pseudolikelihood = -309.91832  (not concave)
Iteration 665: log pseudolikelihood =  -309.9182  (not concave)
Iteration 666: log pseudolikelihood = -309.91809  (not concave)
Iteration 667: log pseudolikelihood = -309.91798  (not concave)
Iteration 668: log pseudolikelihood = -309.91787  (not concave)
Iteration 669: log pseudolikelihood = -309.91776  (not concave)
Iteration 670: log pseudolikelihood = -309.91765  (not concave)
Iteration 671: log pseudolikelihood = -309.91754  (not concave)
Iteration 672: log pseudolikelihood = -309.91743  (not concave)
Iteration 673: log pseudolikelihood = -309.91732  (not concave)
Iteration 674: log pseudolikelihood = -309.91721  (not concave)
Iteration 675: log pseudolikelihood =  -309.9171  (not concave)
Iteration 676: log pseudolikelihood = -309.91699  (not concave)
Iteration 677: log pseudolikelihood = -309.91688  (not concave)
Iteration 678: log pseudolikelihood = -309.91677  (not concave)
Iteration 679: log pseudolikelihood = -309.91666  (not concave)
Iteration 680: log pseudolikelihood = -309.91655  (not concave)
Iteration 681: log pseudolikelihood = -309.91644  (not concave)
Iteration 682: log pseudolikelihood = -309.91632  (not concave)
Iteration 683: log pseudolikelihood = -309.91621  (not concave)
Iteration 684: log pseudolikelihood =  -309.9161  (not concave)
Iteration 685: log pseudolikelihood = -309.91599  (not concave)
Iteration 686: log pseudolikelihood = -309.91588  (not concave)
Iteration 687: log pseudolikelihood = -309.91577  (not concave)
Iteration 688: log pseudolikelihood = -309.91566  (not concave)
Iteration 689: log pseudolikelihood = -309.91555  (not concave)
Iteration 690: log pseudolikelihood = -309.91544  (not concave)
Iteration 691: log pseudolikelihood = -309.91532  (not concave)
Iteration 692: log pseudolikelihood = -309.91521  (not concave)
Iteration 693: log pseudolikelihood =  -309.9151  (not concave)
Iteration 694: log pseudolikelihood = -309.91499  (not concave)
Iteration 695: log pseudolikelihood = -309.91488  (not concave)
Iteration 696: log pseudolikelihood = -309.91477  (not concave)
Iteration 697: log pseudolikelihood = -309.91466  (not concave)
Iteration 698: log pseudolikelihood = -309.91455  (not concave)
Iteration 699: log pseudolikelihood = -309.91443  (not concave)
Iteration 700: log pseudolikelihood = -309.91432  (not concave)
Iteration 701: log pseudolikelihood = -309.91421  (not concave)
Iteration 702: log pseudolikelihood =  -309.9141  (not concave)
Iteration 703: log pseudolikelihood = -309.91399  (not concave)
Iteration 704: log pseudolikelihood = -309.91388  (not concave)
Iteration 705: log pseudolikelihood = -309.91376  (not concave)
Iteration 706: log pseudolikelihood = -309.91365  (not concave)
Iteration 707: log pseudolikelihood = -309.91354  (not concave)
Iteration 708: log pseudolikelihood = -309.91343  (not concave)
Iteration 709: log pseudolikelihood = -309.91332  (not concave)
Iteration 710: log pseudolikelihood =  -309.9132  (not concave)
Iteration 711: log pseudolikelihood = -309.91309  (not concave)
Iteration 712: log pseudolikelihood = -309.91298  (not concave)
Iteration 713: log pseudolikelihood = -309.91287  (not concave)
Iteration 714: log pseudolikelihood = -309.91276  (not concave)
Iteration 715: log pseudolikelihood = -309.91264  (not concave)
Iteration 716: log pseudolikelihood = -309.91253  (not concave)
Iteration 717: log pseudolikelihood = -309.91242  (not concave)
Iteration 718: log pseudolikelihood = -309.91231  (not concave)
Iteration 719: log pseudolikelihood = -309.91219  (not concave)
Iteration 720: log pseudolikelihood = -309.91208  (not concave)
Iteration 721: log pseudolikelihood = -309.91197  (not concave)
Iteration 722: log pseudolikelihood = -309.91186  (not concave)
Iteration 723: log pseudolikelihood = -309.91174  (not concave)
Iteration 724: log pseudolikelihood = -309.91163  (not concave)
Iteration 725: log pseudolikelihood = -309.91152  (not concave)
Iteration 726: log pseudolikelihood = -309.91141  (not concave)
Iteration 727: log pseudolikelihood = -309.91129  (not concave)
Iteration 728: log pseudolikelihood = -309.91118  (not concave)
Iteration 729: log pseudolikelihood = -309.91107  (not concave)
Iteration 730: log pseudolikelihood = -309.91096  (not concave)
Iteration 731: log pseudolikelihood = -309.91084  (not concave)
Iteration 732: log pseudolikelihood = -309.91073  (not concave)
Iteration 733: log pseudolikelihood = -309.91062  (not concave)
Iteration 734: log pseudolikelihood =  -309.9105  (not concave)
Iteration 735: log pseudolikelihood = -309.91039  (not concave)
Iteration 736: log pseudolikelihood = -309.91028  (not concave)
Iteration 737: log pseudolikelihood = -309.91016  (not concave)
Iteration 738: log pseudolikelihood = -309.91005  (not concave)
Iteration 739: log pseudolikelihood = -309.90994  (not concave)
Iteration 740: log pseudolikelihood = -309.90982  (not concave)
Iteration 741: log pseudolikelihood = -309.90971  (not concave)
Iteration 742: log pseudolikelihood =  -309.9096  (not concave)
Iteration 743: log pseudolikelihood = -309.90948  (not concave)
Iteration 744: log pseudolikelihood = -309.90937  (not concave)
Iteration 745: log pseudolikelihood = -309.90926  (not concave)
Iteration 746: log pseudolikelihood = -309.90914  (not concave)
Iteration 747: log pseudolikelihood = -309.90903  (not concave)
Iteration 748: log pseudolikelihood = -309.90892  (not concave)
Iteration 749: log pseudolikelihood =  -309.9088  (not concave)
Iteration 750: log pseudolikelihood = -309.90869  (not concave)
Iteration 751: log pseudolikelihood = -309.90857  (not concave)
Iteration 752: log pseudolikelihood = -309.90846  (not concave)
Iteration 753: log pseudolikelihood = -309.90835  (not concave)
Iteration 754: log pseudolikelihood = -309.90823  (not concave)
Iteration 755: log pseudolikelihood = -309.90812  (not concave)
Iteration 756: log pseudolikelihood =   -309.908  (not concave)
Iteration 757: log pseudolikelihood = -309.90789  (not concave)
Iteration 758: log pseudolikelihood = -309.90778  (not concave)
Iteration 759: log pseudolikelihood = -309.90766  (not concave)
Iteration 760: log pseudolikelihood = -309.90755  (not concave)
Iteration 761: log pseudolikelihood = -309.90743  (not concave)
Iteration 762: log pseudolikelihood = -309.90732  (not concave)
Iteration 763: log pseudolikelihood =  -309.9072  (not concave)
Iteration 764: log pseudolikelihood = -309.90709  (not concave)
Iteration 765: log pseudolikelihood = -309.90698  (not concave)
Iteration 766: log pseudolikelihood = -309.90686  (not concave)
Iteration 767: log pseudolikelihood = -309.90675  (not concave)
Iteration 768: log pseudolikelihood = -309.90663  (not concave)
Iteration 769: log pseudolikelihood = -309.90652  (not concave)
Iteration 770: log pseudolikelihood =  -309.9064  (not concave)
Iteration 771: log pseudolikelihood = -309.90629  (not concave)
Iteration 772: log pseudolikelihood = -309.90617  (not concave)
Iteration 773: log pseudolikelihood = -309.90606  (not concave)
Iteration 774: log pseudolikelihood = -309.90594  (not concave)
Iteration 775: log pseudolikelihood = -309.90583  (not concave)
Iteration 776: log pseudolikelihood = -309.90571  (not concave)
Iteration 777: log pseudolikelihood =  -309.9056  (not concave)
Iteration 778: log pseudolikelihood = -309.90548  (not concave)
Iteration 779: log pseudolikelihood = -309.90537  (not concave)
Iteration 780: log pseudolikelihood = -309.90525  (not concave)
Iteration 781: log pseudolikelihood = -309.90513  (not concave)
Iteration 782: log pseudolikelihood = -309.90502  (not concave)
Iteration 783: log pseudolikelihood =  -309.9049  (not concave)
Iteration 784: log pseudolikelihood = -309.90479  (not concave)
Iteration 785: log pseudolikelihood = -309.90467  (not concave)
Iteration 786: log pseudolikelihood = -309.90456  (not concave)
Iteration 787: log pseudolikelihood = -309.90444  (not concave)
Iteration 788: log pseudolikelihood = -309.90432  (not concave)
Iteration 789: log pseudolikelihood = -309.90421  (not concave)
Iteration 790: log pseudolikelihood = -309.90409  (not concave)
Iteration 791: log pseudolikelihood = -309.90398  (not concave)
Iteration 792: log pseudolikelihood = -309.90386  (not concave)
Iteration 793: log pseudolikelihood = -309.90374  (not concave)
Iteration 794: log pseudolikelihood = -309.90363  (not concave)
Iteration 795: log pseudolikelihood = -309.90351  (not concave)
Iteration 796: log pseudolikelihood =  -309.9034  (not concave)
Iteration 797: log pseudolikelihood = -309.90328  (not concave)
Iteration 798: log pseudolikelihood = -309.90316  (not concave)
Iteration 799: log pseudolikelihood = -309.90305  (not concave)
Iteration 800: log pseudolikelihood = -309.90293  (not concave)
Iteration 801: log pseudolikelihood = -309.90281  (not concave)
Iteration 802: log pseudolikelihood =  -309.9027  (not concave)
Iteration 803: log pseudolikelihood = -309.90258  (not concave)
Iteration 804: log pseudolikelihood = -309.90246  (not concave)
Iteration 805: log pseudolikelihood = -309.90235  (not concave)
Iteration 806: log pseudolikelihood = -309.90223  (not concave)
Iteration 807: log pseudolikelihood = -309.90211  (not concave)
Iteration 808: log pseudolikelihood =   -309.902  (not concave)
Iteration 809: log pseudolikelihood = -309.90188  (not concave)
Iteration 810: log pseudolikelihood = -309.90176  (not concave)
Iteration 811: log pseudolikelihood = -309.90164  (not concave)
Iteration 812: log pseudolikelihood = -309.90153  (not concave)
Iteration 813: log pseudolikelihood = -309.90141  (not concave)
Iteration 814: log pseudolikelihood = -309.90129  (not concave)
Iteration 815: log pseudolikelihood = -309.90117  (not concave)
Iteration 816: log pseudolikelihood = -309.90106  (not concave)
Iteration 817: log pseudolikelihood = -309.90094  (not concave)
Iteration 818: log pseudolikelihood = -309.90082  (not concave)
Iteration 819: log pseudolikelihood =  -309.9007  (not concave)
Iteration 820: log pseudolikelihood = -309.90059  (not concave)
Iteration 821: log pseudolikelihood = -309.90047  (not concave)
Iteration 822: log pseudolikelihood = -309.90035  (not concave)
Iteration 823: log pseudolikelihood = -309.90023  (not concave)
Iteration 824: log pseudolikelihood = -309.90012  (not concave)
Iteration 825: log pseudolikelihood =     -309.9  (not concave)
Iteration 826: log pseudolikelihood = -309.89988  (not concave)
Iteration 827: log pseudolikelihood = -309.89976  (not concave)
Iteration 828: log pseudolikelihood = -309.89964  (not concave)
Iteration 829: log pseudolikelihood = -309.89952  (not concave)
Iteration 830: log pseudolikelihood = -309.89941  (not concave)
Iteration 831: log pseudolikelihood = -309.89929  (not concave)
Iteration 832: log pseudolikelihood = -309.89917  (not concave)
Iteration 833: log pseudolikelihood = -309.89905  (not concave)
Iteration 834: log pseudolikelihood = -309.89893  (not concave)
Iteration 835: log pseudolikelihood = -309.89881  (not concave)
Iteration 836: log pseudolikelihood = -309.89869  (not concave)
Iteration 837: log pseudolikelihood = -309.89858  (not concave)
Iteration 838: log pseudolikelihood = -309.89846  (not concave)
Iteration 839: log pseudolikelihood = -309.89834  (not concave)
Iteration 840: log pseudolikelihood = -309.89822  (not concave)
Iteration 841: log pseudolikelihood =  -309.8981  (not concave)
Iteration 842: log pseudolikelihood = -309.89798  (not concave)
Iteration 843: log pseudolikelihood = -309.89786  (not concave)
Iteration 844: log pseudolikelihood = -309.89774  (not concave)
Iteration 845: log pseudolikelihood = -309.89762  (not concave)
Iteration 846: log pseudolikelihood =  -309.8975  (not concave)
Iteration 847: log pseudolikelihood = -309.89738  (not concave)
Iteration 848: log pseudolikelihood = -309.89727  (not concave)
Iteration 849: log pseudolikelihood = -309.89715  (not concave)
Iteration 850: log pseudolikelihood = -309.89703  (not concave)
Iteration 851: log pseudolikelihood = -309.89691  (not concave)
Iteration 852: log pseudolikelihood = -309.89679  (not concave)
Iteration 853: log pseudolikelihood = -309.89667  (not concave)
Iteration 854: log pseudolikelihood = -309.89655  (not concave)
Iteration 855: log pseudolikelihood = -309.89643  (not concave)
Iteration 856: log pseudolikelihood = -309.89631  (not concave)
Iteration 857: log pseudolikelihood = -309.89619  (not concave)
Iteration 858: log pseudolikelihood = -309.89607  (not concave)
Iteration 859: log pseudolikelihood = -309.89595  (not concave)
Iteration 860: log pseudolikelihood = -309.89583  (not concave)
Iteration 861: log pseudolikelihood = -309.89571  (not concave)
Iteration 862: log pseudolikelihood = -309.89559  (not concave)
Iteration 863: log pseudolikelihood = -309.89547  (not concave)
Iteration 864: log pseudolikelihood = -309.89535  (not concave)
Iteration 865: log pseudolikelihood = -309.89522  (not concave)
Iteration 866: log pseudolikelihood =  -309.8951  (not concave)
Iteration 867: log pseudolikelihood = -309.89498  (not concave)
Iteration 868: log pseudolikelihood = -309.89486  (not concave)
Iteration 869: log pseudolikelihood = -309.89474  (not concave)
Iteration 870: log pseudolikelihood = -309.89462  (not concave)
Iteration 871: log pseudolikelihood =  -309.8945  (not concave)
Iteration 872: log pseudolikelihood = -309.89438  (not concave)
Iteration 873: log pseudolikelihood = -309.89426  (not concave)
Iteration 874: log pseudolikelihood = -309.89414  (not concave)
Iteration 875: log pseudolikelihood = -309.89402  (not concave)
Iteration 876: log pseudolikelihood = -309.89389  (not concave)
Iteration 877: log pseudolikelihood = -309.89377  (not concave)
Iteration 878: log pseudolikelihood = -309.89365  (not concave)
Iteration 879: log pseudolikelihood = -309.89353  (not concave)
Iteration 880: log pseudolikelihood = -309.89341  (not concave)
Iteration 881: log pseudolikelihood = -309.89329  (not concave)
Iteration 882: log pseudolikelihood = -309.89317  (not concave)
Iteration 883: log pseudolikelihood = -309.89304  (not concave)
Iteration 884: log pseudolikelihood = -309.89292  (not concave)
Iteration 885: log pseudolikelihood =  -309.8928  (not concave)
Iteration 886: log pseudolikelihood = -309.89268  (not concave)
Iteration 887: log pseudolikelihood = -309.89256  (not concave)
Iteration 888: log pseudolikelihood = -309.89243  (not concave)
Iteration 889: log pseudolikelihood = -309.89231  (not concave)
Iteration 890: log pseudolikelihood = -309.89219  (not concave)
Iteration 891: log pseudolikelihood = -309.89207  (not concave)
Iteration 892: log pseudolikelihood = -309.89195  (not concave)
Iteration 893: log pseudolikelihood = -309.89182  (not concave)
Iteration 894: log pseudolikelihood =  -309.8917  (not concave)
Iteration 895: log pseudolikelihood = -309.89158  (not concave)
Iteration 896: log pseudolikelihood = -309.89146  (not concave)
Iteration 897: log pseudolikelihood = -309.89133  (not concave)
Iteration 898: log pseudolikelihood = -309.89121  (not concave)
Iteration 899: log pseudolikelihood = -309.89109  (not concave)
Iteration 900: log pseudolikelihood = -309.89096  (not concave)
Iteration 901: log pseudolikelihood = -309.89084  (not concave)
Iteration 902: log pseudolikelihood = -309.89072  (not concave)
Iteration 903: log pseudolikelihood =  -309.8906  (not concave)
Iteration 904: log pseudolikelihood = -309.89047  (not concave)
Iteration 905: log pseudolikelihood = -309.89035  (not concave)
Iteration 906: log pseudolikelihood = -309.89023  (not concave)
Iteration 907: log pseudolikelihood =  -309.8901  (not concave)
Iteration 908: log pseudolikelihood = -309.88998  (not concave)
Iteration 909: log pseudolikelihood = -309.88986  (not concave)
Iteration 910: log pseudolikelihood = -309.88973  (not concave)
Iteration 911: log pseudolikelihood = -309.88961  (not concave)
Iteration 912: log pseudolikelihood = -309.88949  (not concave)
Iteration 913: log pseudolikelihood = -309.88936  (not concave)
Iteration 914: log pseudolikelihood = -309.88924  (not concave)
Iteration 915: log pseudolikelihood = -309.88911  (not concave)
Iteration 916: log pseudolikelihood = -309.88899  (not concave)
Iteration 917: log pseudolikelihood = -309.88887  (not concave)
Iteration 918: log pseudolikelihood = -309.88874  (not concave)
Iteration 919: log pseudolikelihood = -309.88862  (not concave)
Iteration 920: log pseudolikelihood = -309.88849  (not concave)
Iteration 921: log pseudolikelihood = -309.88837  (not concave)
Iteration 922: log pseudolikelihood = -309.88825  (not concave)
Iteration 923: log pseudolikelihood = -309.88812  (not concave)
Iteration 924: log pseudolikelihood =   -309.888  (not concave)
Iteration 925: log pseudolikelihood = -309.88787  (not concave)
Iteration 926: log pseudolikelihood = -309.88775  (not concave)
Iteration 927: log pseudolikelihood = -309.88762  (not concave)
Iteration 928: log pseudolikelihood =  -309.8875  (not concave)
Iteration 929: log pseudolikelihood = -309.88737  (not concave)
Iteration 930: log pseudolikelihood = -309.88725  (not concave)
Iteration 931: log pseudolikelihood = -309.88712  (not concave)
Iteration 932: log pseudolikelihood =   -309.887  (not concave)
Iteration 933: log pseudolikelihood = -309.88687  (not concave)
Iteration 934: log pseudolikelihood = -309.88675  (not concave)
Iteration 935: log pseudolikelihood = -309.88662  (not concave)
Iteration 936: log pseudolikelihood =  -309.8865  (not concave)
Iteration 937: log pseudolikelihood = -309.88637  (not concave)
Iteration 938: log pseudolikelihood = -309.88625  (not concave)
Iteration 939: log pseudolikelihood = -309.88612  (not concave)
Iteration 940: log pseudolikelihood =   -309.886  (not concave)
Iteration 941: log pseudolikelihood = -309.88587  (not concave)
Iteration 942: log pseudolikelihood = -309.88574  (not concave)
Iteration 943: log pseudolikelihood = -309.88562  (not concave)
Iteration 944: log pseudolikelihood = -309.88549  (not concave)
Iteration 945: log pseudolikelihood = -309.88537  (not concave)
Iteration 946: log pseudolikelihood = -309.88524  (not concave)
Iteration 947: log pseudolikelihood = -309.88512  (not concave)
Iteration 948: log pseudolikelihood = -309.88499  (not concave)
Iteration 949: log pseudolikelihood = -309.88486  (not concave)
Iteration 950: log pseudolikelihood = -309.88474  (not concave)
Iteration 951: log pseudolikelihood = -309.88461  (not concave)
Iteration 952: log pseudolikelihood = -309.88448  (not concave)
Iteration 953: log pseudolikelihood = -309.88436  (not concave)
Iteration 954: log pseudolikelihood = -309.88423  (not concave)
Iteration 955: log pseudolikelihood = -309.88411  (not concave)
Iteration 956: log pseudolikelihood = -309.88398  (not concave)
Iteration 957: log pseudolikelihood = -309.88385  (not concave)
Iteration 958: log pseudolikelihood = -309.88373  (not concave)
Iteration 959: log pseudolikelihood =  -309.8836  (not concave)
Iteration 960: log pseudolikelihood = -309.88347  (not concave)
Iteration 961: log pseudolikelihood = -309.88334  (not concave)
Iteration 962: log pseudolikelihood = -309.88322  (not concave)
Iteration 963: log pseudolikelihood = -309.88309  (not concave)
Iteration 964: log pseudolikelihood = -309.88296  (not concave)
Iteration 965: log pseudolikelihood = -309.88284  (not concave)
Iteration 966: log pseudolikelihood = -309.88271  (not concave)
Iteration 967: log pseudolikelihood = -309.88258  (not concave)
Iteration 968: log pseudolikelihood = -309.88245  (not concave)
Iteration 969: log pseudolikelihood = -309.88233  (not concave)
Iteration 970: log pseudolikelihood =  -309.8822  (not concave)
Iteration 971: log pseudolikelihood = -309.88207  (not concave)
Iteration 972: log pseudolikelihood = -309.88194  (not concave)
Iteration 973: log pseudolikelihood = -309.88182  (not concave)
Iteration 974: log pseudolikelihood = -309.88169  (not concave)
Iteration 975: log pseudolikelihood = -309.88156  (not concave)
Iteration 976: log pseudolikelihood = -309.88143  (not concave)
Iteration 977: log pseudolikelihood =  -309.8813  (not concave)
Iteration 978: log pseudolikelihood = -309.88118  (not concave)
Iteration 979: log pseudolikelihood = -309.88105  (not concave)
Iteration 980: log pseudolikelihood = -309.88092  (not concave)
Iteration 981: log pseudolikelihood = -309.88079  (not concave)
Iteration 982: log pseudolikelihood = -309.88066  (not concave)
Iteration 983: log pseudolikelihood = -309.88054  (not concave)
Iteration 984: log pseudolikelihood = -309.88041  (not concave)
Iteration 985: log pseudolikelihood = -309.88028  (not concave)
Iteration 986: log pseudolikelihood = -309.88015  (not concave)
Iteration 987: log pseudolikelihood = -309.88002  (not concave)
Iteration 988: log pseudolikelihood = -309.87989  (not concave)
Iteration 989: log pseudolikelihood = -309.87976  (not concave)
Iteration 990: log pseudolikelihood = -309.87963  (not concave)
Iteration 991: log pseudolikelihood = -309.87951  (not concave)
Iteration 992: log pseudolikelihood = -309.87938  (not concave)
Iteration 993: log pseudolikelihood = -309.87925  (not concave)
Iteration 994: log pseudolikelihood = -309.87912  (not concave)
Iteration 995: log pseudolikelihood = -309.87899  (not concave)
Iteration 996: log pseudolikelihood = -309.87886  (not concave)
Iteration 997: log pseudolikelihood = -309.87873  (not concave)
Iteration 998: log pseudolikelihood =  -309.8786  (not concave)
Iteration 999: log pseudolikelihood = -309.87847  (not concave)
Iteration 1000: log pseudolikelihood = -309.87834  (not concave)
Iteration 1001: log pseudolikelihood = -309.87821  (not concave)
Iteration 1002: log pseudolikelihood = -309.87808  (not concave)
Iteration 1003: log pseudolikelihood = -309.87795  (not concave)
Iteration 1004: log pseudolikelihood = -309.87782  (not concave)
Iteration 1005: log pseudolikelihood = -309.87769  (not concave)
Iteration 1006: log pseudolikelihood = -309.87756  (not concave)
Iteration 1007: log pseudolikelihood = -309.87743  (not concave)
Iteration 1008: log pseudolikelihood =  -309.8773  (not concave)
Iteration 1009: log pseudolikelihood = -309.87717  (not concave)
Iteration 1010: log pseudolikelihood = -309.87704  (not concave)
Iteration 1011: log pseudolikelihood = -309.87691  (not concave)
Iteration 1012: log pseudolikelihood = -309.87678  (not concave)
Iteration 1013: log pseudolikelihood = -309.87665  (not concave)
Iteration 1014: log pseudolikelihood = -309.87652  (not concave)
Iteration 1015: log pseudolikelihood = -309.87639  (not concave)
Iteration 1016: log pseudolikelihood = -309.87626  (not concave)
Iteration 1017: log pseudolikelihood = -309.87613  (not concave)
Iteration 1018: log pseudolikelihood =   -309.876  (not concave)
Iteration 1019: log pseudolikelihood = -309.87587  (not concave)
Iteration 1020: log pseudolikelihood = -309.87574  (not concave)
Iteration 1021: log pseudolikelihood = -309.87561  (not concave)
Iteration 1022: log pseudolikelihood = -309.87548  (not concave)
Iteration 1023: log pseudolikelihood = -309.87535  (not concave)
Iteration 1024: log pseudolikelihood = -309.87521  (not concave)
Iteration 1025: log pseudolikelihood = -309.87508  (not concave)
Iteration 1026: log pseudolikelihood = -309.87495  (not concave)
Iteration 1027: log pseudolikelihood = -309.87482  (not concave)
Iteration 1028: log pseudolikelihood = -309.87469  (not concave)
Iteration 1029: log pseudolikelihood = -309.87456  (not concave)
Iteration 1030: log pseudolikelihood = -309.87443  (not concave)
Iteration 1031: log pseudolikelihood = -309.87429  (not concave)
Iteration 1032: log pseudolikelihood = -309.87416  (not concave)
Iteration 1033: log pseudolikelihood = -309.87403  (not concave)
Iteration 1034: log pseudolikelihood =  -309.8739  (not concave)
Iteration 1035: log pseudolikelihood = -309.87377  (not concave)
Iteration 1036: log pseudolikelihood = -309.87364  (not concave)
Iteration 1037: log pseudolikelihood =  -309.8735  (not concave)
Iteration 1038: log pseudolikelihood = -309.87337  (not concave)
Iteration 1039: log pseudolikelihood = -309.87324  (not concave)
Iteration 1040: log pseudolikelihood = -309.87311  (not concave)
Iteration 1041: log pseudolikelihood = -309.87298  (not concave)
Iteration 1042: log pseudolikelihood = -309.87284  (not concave)
Iteration 1043: log pseudolikelihood = -309.87271  (not concave)
Iteration 1044: log pseudolikelihood = -309.87258  (not concave)
Iteration 1045: log pseudolikelihood = -309.87245  (not concave)
Iteration 1046: log pseudolikelihood = -309.87231  (not concave)
Iteration 1047: log pseudolikelihood = -309.87218  (not concave)
Iteration 1048: log pseudolikelihood = -309.87205  (not concave)
Iteration 1049: log pseudolikelihood = -309.87192  (not concave)
Iteration 1050: log pseudolikelihood = -309.87178  (not concave)
Iteration 1051: log pseudolikelihood = -309.87165  (not concave)
Iteration 1052: log pseudolikelihood = -309.87152  (not concave)
Iteration 1053: log pseudolikelihood = -309.87138  (not concave)
Iteration 1054: log pseudolikelihood = -309.87125  (not concave)
Iteration 1055: log pseudolikelihood = -309.87112  (not concave)
Iteration 1056: log pseudolikelihood = -309.87099  (not concave)
Iteration 1057: log pseudolikelihood = -309.87085  (not concave)
Iteration 1058: log pseudolikelihood = -309.87072  (not concave)
Iteration 1059: log pseudolikelihood = -309.87059  (not concave)
Iteration 1060: log pseudolikelihood = -309.87045  (not concave)
Iteration 1061: log pseudolikelihood = -309.87032  (not concave)
Iteration 1062: log pseudolikelihood = -309.87019  (not concave)
Iteration 1063: log pseudolikelihood = -309.87005  (not concave)
Iteration 1064: log pseudolikelihood = -309.86992  (not concave)
Iteration 1065: log pseudolikelihood = -309.86979  (not concave)
Iteration 1066: log pseudolikelihood = -309.86965  (not concave)
Iteration 1067: log pseudolikelihood = -309.86952  (not concave)
Iteration 1068: log pseudolikelihood = -309.86938  (not concave)
Iteration 1069: log pseudolikelihood = -309.86925  (not concave)
Iteration 1070: log pseudolikelihood = -309.86912  (not concave)
Iteration 1071: log pseudolikelihood = -309.86898  (not concave)
Iteration 1072: log pseudolikelihood = -309.86885  (not concave)
Iteration 1073: log pseudolikelihood = -309.86871  (not concave)
Iteration 1074: log pseudolikelihood = -309.86858  (not concave)
Iteration 1075: log pseudolikelihood = -309.86845  (not concave)
Iteration 1076: log pseudolikelihood = -309.86831  (not concave)
Iteration 1077: log pseudolikelihood = -309.86818  (not concave)
Iteration 1078: log pseudolikelihood = -309.86804  (not concave)
Iteration 1079: log pseudolikelihood = -309.86791  (not concave)
Iteration 1080: log pseudolikelihood = -309.86777  (not concave)
Iteration 1081: log pseudolikelihood = -309.86764  (not concave)
Iteration 1082: log pseudolikelihood =  -309.8675  (not concave)
Iteration 1083: log pseudolikelihood = -309.86737  (not concave)
Iteration 1084: log pseudolikelihood = -309.86723  (not concave)
Iteration 1085: log pseudolikelihood =  -309.8671  (not concave)
Iteration 1086: log pseudolikelihood = -309.86696  (not concave)
Iteration 1087: log pseudolikelihood = -309.86683  (not concave)
Iteration 1088: log pseudolikelihood = -309.86669  (not concave)
Iteration 1089: log pseudolikelihood = -309.86656  (not concave)
Iteration 1090: log pseudolikelihood = -309.86642  (not concave)
Iteration 1091: log pseudolikelihood = -309.86629  (not concave)
Iteration 1092: log pseudolikelihood = -309.86615  (not concave)
Iteration 1093: log pseudolikelihood = -309.86602  (not concave)
Iteration 1094: log pseudolikelihood = -309.86588  (not concave)
Iteration 1095: log pseudolikelihood = -309.86575  (not concave)
Iteration 1096: log pseudolikelihood = -309.86561  (not concave)
Iteration 1097: log pseudolikelihood = -309.86548  (not concave)
Iteration 1098: log pseudolikelihood = -309.86534  (not concave)
Iteration 1099: log pseudolikelihood =  -309.8652  (not concave)
Iteration 1100: log pseudolikelihood = -309.86507  (not concave)
Iteration 1101: log pseudolikelihood = -309.86493  (not concave)
Iteration 1102: log pseudolikelihood =  -309.8648  (not concave)
Iteration 1103: log pseudolikelihood = -309.86466  (not concave)
Iteration 1104: log pseudolikelihood = -309.86453  (not concave)
Iteration 1105: log pseudolikelihood = -309.86439  (not concave)
Iteration 1106: log pseudolikelihood = -309.86425  (not concave)
Iteration 1107: log pseudolikelihood = -309.86412  (not concave)
Iteration 1108: log pseudolikelihood = -309.86398  (not concave)
Iteration 1109: log pseudolikelihood = -309.86384  (not concave)
Iteration 1110: log pseudolikelihood = -309.86371  (not concave)
Iteration 1111: log pseudolikelihood = -309.86357  (not concave)
Iteration 1112: log pseudolikelihood = -309.86344  (not concave)
Iteration 1113: log pseudolikelihood =  -309.8633  (not concave)
Iteration 1114: log pseudolikelihood = -309.86316  (not concave)
Iteration 1115: log pseudolikelihood = -309.86303  (not concave)
Iteration 1116: log pseudolikelihood = -309.86289  (not concave)
Iteration 1117: log pseudolikelihood = -309.86275  (not concave)
Iteration 1118: log pseudolikelihood = -309.86262  (not concave)
Iteration 1119: log pseudolikelihood = -309.86248  (not concave)
Iteration 1120: log pseudolikelihood = -309.86234  (not concave)
Iteration 1121: log pseudolikelihood = -309.86221  (not concave)
Iteration 1122: log pseudolikelihood = -309.86207  (not concave)
Iteration 1123: log pseudolikelihood = -309.86193  (not concave)
Iteration 1124: log pseudolikelihood = -309.86179  (not concave)
Iteration 1125: log pseudolikelihood = -309.86166  (not concave)
Iteration 1126: log pseudolikelihood = -309.86152  (not concave)
Iteration 1127: log pseudolikelihood = -309.86138  (not concave)
Iteration 1128: log pseudolikelihood = -309.86125  (not concave)
Iteration 1129: log pseudolikelihood = -309.86111  (not concave)
Iteration 1130: log pseudolikelihood = -309.86097  (not concave)
Iteration 1131: log pseudolikelihood = -309.86083  (not concave)
Iteration 1132: log pseudolikelihood =  -309.8607  (not concave)
Iteration 1133: log pseudolikelihood = -309.86056  (not concave)
Iteration 1134: log pseudolikelihood = -309.86042  (not concave)
Iteration 1135: log pseudolikelihood = -309.86028  (not concave)
Iteration 1136: log pseudolikelihood = -309.86014  (not concave)
Iteration 1137: log pseudolikelihood = -309.86001  (not concave)
Iteration 1138: log pseudolikelihood = -309.85987  (not concave)
Iteration 1139: log pseudolikelihood = -309.85973  (not concave)
Iteration 1140: log pseudolikelihood = -309.85959  (not concave)
Iteration 1141: log pseudolikelihood = -309.85946  (not concave)
Iteration 1142: log pseudolikelihood = -309.85932  (not concave)
Iteration 1143: log pseudolikelihood = -309.85918  (not concave)
Iteration 1144: log pseudolikelihood = -309.85904  (not concave)
Iteration 1145: log pseudolikelihood =  -309.8589  (not concave)
Iteration 1146: log pseudolikelihood = -309.85876  (not concave)
Iteration 1147: log pseudolikelihood = -309.85863  (not concave)
Iteration 1148: log pseudolikelihood = -309.85849  (not concave)
Iteration 1149: log pseudolikelihood = -309.85835  (not concave)
Iteration 1150: log pseudolikelihood = -309.85821  (not concave)
Iteration 1151: log pseudolikelihood = -309.85807  (not concave)
Iteration 1152: log pseudolikelihood = -309.85793  (not concave)
Iteration 1153: log pseudolikelihood =  -309.8578  (not concave)
Iteration 1154: log pseudolikelihood = -309.85766  (not concave)
Iteration 1155: log pseudolikelihood = -309.85752  (not concave)
Iteration 1156: log pseudolikelihood = -309.85738  (not concave)
Iteration 1157: log pseudolikelihood = -309.85724  (not concave)
Iteration 1158: log pseudolikelihood =  -309.8571  (not concave)
Iteration 1159: log pseudolikelihood = -309.85696  (not concave)
Iteration 1160: log pseudolikelihood = -309.85682  (not concave)
Iteration 1161: log pseudolikelihood = -309.85668  (not concave)
Iteration 1162: log pseudolikelihood = -309.85655  (not concave)
Iteration 1163: log pseudolikelihood = -309.85641  (not concave)
Iteration 1164: log pseudolikelihood = -309.85627  (not concave)
Iteration 1165: log pseudolikelihood = -309.85613  (not concave)
Iteration 1166: log pseudolikelihood = -309.85599  (not concave)
Iteration 1167: log pseudolikelihood = -309.85585  (not concave)
Iteration 1168: log pseudolikelihood = -309.85571  (not concave)
Iteration 1169: log pseudolikelihood = -309.85557  (not concave)
Iteration 1170: log pseudolikelihood = -309.85543  (not concave)
Iteration 1171: log pseudolikelihood = -309.85529  (not concave)
Iteration 1172: log pseudolikelihood = -309.85515  (not concave)
Iteration 1173: log pseudolikelihood = -309.85501  (not concave)
Iteration 1174: log pseudolikelihood = -309.85487  (not concave)
Iteration 1175: log pseudolikelihood = -309.85473  (not concave)
Iteration 1176: log pseudolikelihood = -309.85459  (not concave)
Iteration 1177: log pseudolikelihood = -309.85445  (not concave)
Iteration 1178: log pseudolikelihood = -309.85431  (not concave)
Iteration 1179: log pseudolikelihood = -309.85417  (not concave)
Iteration 1180: log pseudolikelihood = -309.85403  (not concave)
Iteration 1181: log pseudolikelihood = -309.85389  (not concave)
Iteration 1182: log pseudolikelihood = -309.85375  (not concave)
Iteration 1183: log pseudolikelihood = -309.85361  (not concave)
Iteration 1184: log pseudolikelihood = -309.85347  (not concave)
Iteration 1185: log pseudolikelihood = -309.85333  (not concave)
Iteration 1186: log pseudolikelihood = -309.85319  (not concave)
Iteration 1187: log pseudolikelihood = -309.85305  (not concave)
Iteration 1188: log pseudolikelihood = -309.85291  (not concave)
Iteration 1189: log pseudolikelihood = -309.85277  (not concave)
Iteration 1190: log pseudolikelihood = -309.85263  (not concave)
Iteration 1191: log pseudolikelihood = -309.85249  (not concave)
Iteration 1192: log pseudolikelihood = -309.85235  (not concave)
Iteration 1193: log pseudolikelihood = -309.85221  (not concave)
Iteration 1194: log pseudolikelihood = -309.85207  (not concave)
Iteration 1195: log pseudolikelihood = -309.85193  (not concave)
Iteration 1196: log pseudolikelihood = -309.85179  (not concave)
Iteration 1197: log pseudolikelihood = -309.85165  (not concave)
Iteration 1198: log pseudolikelihood = -309.85151  (not concave)
Iteration 1199: log pseudolikelihood = -309.85137  (not concave)
Iteration 1200: log pseudolikelihood = -309.85123  (not concave)
Iteration 1201: log pseudolikelihood = -309.85108  (not concave)
Iteration 1202: log pseudolikelihood = -309.85094  (not concave)
Iteration 1203: log pseudolikelihood =  -309.8508  (not concave)
Iteration 1204: log pseudolikelihood = -309.85066  (not concave)
Iteration 1205: log pseudolikelihood = -309.85052  (not concave)
Iteration 1206: log pseudolikelihood = -309.85038  (not concave)
Iteration 1207: log pseudolikelihood = -309.85024  (not concave)
Iteration 1208: log pseudolikelihood =  -309.8501  (not concave)
Iteration 1209: log pseudolikelihood = -309.84996  (not concave)
Iteration 1210: log pseudolikelihood = -309.84981  (not concave)
Iteration 1211: log pseudolikelihood = -309.84967  (not concave)
Iteration 1212: log pseudolikelihood = -309.84953  (not concave)
Iteration 1213: log pseudolikelihood = -309.84939  (not concave)
Iteration 1214: log pseudolikelihood = -309.84925  (not concave)
Iteration 1215: log pseudolikelihood = -309.84911  (not concave)
Iteration 1216: log pseudolikelihood = -309.84897  (not concave)
Iteration 1217: log pseudolikelihood = -309.84882  (not concave)
Iteration 1218: log pseudolikelihood = -309.84868  (not concave)
Iteration 1219: log pseudolikelihood = -309.84854  (not concave)
Iteration 1220: log pseudolikelihood =  -309.8484  (not concave)
Iteration 1221: log pseudolikelihood = -309.84826  (not concave)
Iteration 1222: log pseudolikelihood = -309.84812  (not concave)
Iteration 1223: log pseudolikelihood = -309.84797  (not concave)
Iteration 1224: log pseudolikelihood = -309.84783  (not concave)
Iteration 1225: log pseudolikelihood = -309.84769  (not concave)
Iteration 1226: log pseudolikelihood = -309.84755  (not concave)
Iteration 1227: log pseudolikelihood = -309.84741  (not concave)
Iteration 1228: log pseudolikelihood = -309.84726  (not concave)
Iteration 1229: log pseudolikelihood = -309.84712  (not concave)
Iteration 1230: log pseudolikelihood = -309.84698  (not concave)
Iteration 1231: log pseudolikelihood = -309.84684  (not concave)
Iteration 1232: log pseudolikelihood =  -309.8467  (not concave)
Iteration 1233: log pseudolikelihood = -309.84655  (not concave)
Iteration 1234: log pseudolikelihood = -309.84641  (not concave)
Iteration 1235: log pseudolikelihood = -309.84627  (not concave)
Iteration 1236: log pseudolikelihood = -309.84613  (not concave)
Iteration 1237: log pseudolikelihood = -309.84598  (not concave)
Iteration 1238: log pseudolikelihood = -309.84584  (not concave)
Iteration 1239: log pseudolikelihood =  -309.8457  (not concave)
Iteration 1240: log pseudolikelihood = -309.84556  (not concave)
Iteration 1241: log pseudolikelihood = -309.84541  (not concave)
Iteration 1242: log pseudolikelihood = -309.84527  (not concave)
Iteration 1243: log pseudolikelihood = -309.84513  (not concave)
Iteration 1244: log pseudolikelihood = -309.84499  (not concave)
Iteration 1245: log pseudolikelihood = -309.84484  (not concave)
Iteration 1246: log pseudolikelihood =  -309.8447  (not concave)
Iteration 1247: log pseudolikelihood = -309.84456  (not concave)
Iteration 1248: log pseudolikelihood = -309.84441  (not concave)
Iteration 1249: log pseudolikelihood = -309.84427  (not concave)
Iteration 1250: log pseudolikelihood = -309.84413  (not concave)
Iteration 1251: log pseudolikelihood = -309.84399  (not concave)
Iteration 1252: log pseudolikelihood = -309.84384  (not concave)
Iteration 1253: log pseudolikelihood =  -309.8437  (not concave)
Iteration 1254: log pseudolikelihood = -309.84356  (not concave)
Iteration 1255: log pseudolikelihood = -309.84341  (not concave)
Iteration 1256: log pseudolikelihood = -309.84327  (not concave)
Iteration 1257: log pseudolikelihood = -309.84313  (not concave)
Iteration 1258: log pseudolikelihood = -309.84298  (not concave)
Iteration 1259: log pseudolikelihood = -309.84284  (not concave)
Iteration 1260: log pseudolikelihood =  -309.8427  (not concave)
Iteration 1261: log pseudolikelihood = -309.84255  (not concave)
Iteration 1262: log pseudolikelihood = -309.84241  (not concave)
Iteration 1263: log pseudolikelihood = -309.84227  (not concave)
Iteration 1264: log pseudolikelihood = -309.84212  (not concave)
Iteration 1265: log pseudolikelihood = -309.84198  (not concave)
Iteration 1266: log pseudolikelihood = -309.84184  (not concave)
Iteration 1267: log pseudolikelihood = -309.84169  (not concave)
Iteration 1268: log pseudolikelihood = -309.84155  (not concave)
Iteration 1269: log pseudolikelihood = -309.84141  (not concave)
Iteration 1270: log pseudolikelihood = -309.84126  (not concave)
Iteration 1271: log pseudolikelihood = -309.84112  (not concave)
Iteration 1272: log pseudolikelihood = -309.84098  (not concave)
Iteration 1273: log pseudolikelihood = -309.84083  (not concave)
Iteration 1274: log pseudolikelihood = -309.84069  (not concave)
Iteration 1275: log pseudolikelihood = -309.84055  (not concave)
Iteration 1276: log pseudolikelihood =  -309.8404  (not concave)
Iteration 1277: log pseudolikelihood = -309.84026  (not concave)
Iteration 1278: log pseudolikelihood = -309.84011  (not concave)
Iteration 1279: log pseudolikelihood = -309.83997  (not concave)
Iteration 1280: log pseudolikelihood = -309.83983  (not concave)
Iteration 1281: log pseudolikelihood = -309.83968  (not concave)
Iteration 1282: log pseudolikelihood = -309.83954  (not concave)
Iteration 1283: log pseudolikelihood = -309.83939  (not concave)
Iteration 1284: log pseudolikelihood = -309.83925  (not concave)
Iteration 1285: log pseudolikelihood = -309.83911  (not concave)
Iteration 1286: log pseudolikelihood = -309.83896  (not concave)
Iteration 1287: log pseudolikelihood = -309.83882  (not concave)
Iteration 1288: log pseudolikelihood = -309.83867  (not concave)
Iteration 1289: log pseudolikelihood = -309.83853  (not concave)
Iteration 1290: log pseudolikelihood = -309.83838  (not concave)
Iteration 1291: log pseudolikelihood = -309.83824  (not concave)
Iteration 1292: log pseudolikelihood =  -309.8381  (not concave)
Iteration 1293: log pseudolikelihood = -309.83795  (not concave)
Iteration 1294: log pseudolikelihood = -309.83781  (not concave)
Iteration 1295: log pseudolikelihood = -309.83766  (not concave)
Iteration 1296: log pseudolikelihood = -309.83752  (not concave)
Iteration 1297: log pseudolikelihood = -309.83737  (not concave)
Iteration 1298: log pseudolikelihood = -309.83723  (not concave)
Iteration 1299: log pseudolikelihood = -309.83709  (not concave)
Iteration 1300: log pseudolikelihood = -309.83694  (not concave)
Iteration 1301: log pseudolikelihood =  -309.8368  (not concave)
Iteration 1302: log pseudolikelihood = -309.83665  (not concave)
Iteration 1303: log pseudolikelihood = -309.83651  (not concave)
Iteration 1304: log pseudolikelihood = -309.83636  (not concave)
Iteration 1305: log pseudolikelihood = -309.83622  (not concave)
Iteration 1306: log pseudolikelihood = -309.83607  (not concave)
Iteration 1307: log pseudolikelihood = -309.83593  (not concave)
Iteration 1308: log pseudolikelihood = -309.83578  (not concave)
Iteration 1309: log pseudolikelihood = -309.83564  (not concave)
Iteration 1310: log pseudolikelihood = -309.83549  (not concave)
Iteration 1311: log pseudolikelihood = -309.83535  (not concave)
Iteration 1312: log pseudolikelihood =  -309.8352  (not concave)
Iteration 1313: log pseudolikelihood = -309.83506  (not concave)
Iteration 1314: log pseudolikelihood = -309.83491  (not concave)
Iteration 1315: log pseudolikelihood = -309.83477  (not concave)
Iteration 1316: log pseudolikelihood = -309.83462  (not concave)
Iteration 1317: log pseudolikelihood = -309.83448  (not concave)
Iteration 1318: log pseudolikelihood = -309.83433  (not concave)
Iteration 1319: log pseudolikelihood = -309.83419  (not concave)
Iteration 1320: log pseudolikelihood = -309.83404  (not concave)
Iteration 1321: log pseudolikelihood =  -309.8339  (not concave)
Iteration 1322: log pseudolikelihood = -309.83375  (not concave)
Iteration 1323: log pseudolikelihood = -309.83361  (not concave)
Iteration 1324: log pseudolikelihood = -309.83346  (not concave)
Iteration 1325: log pseudolikelihood = -309.83332  (not concave)
Iteration 1326: log pseudolikelihood = -309.83317  (not concave)
Iteration 1327: log pseudolikelihood = -309.83303  (not concave)
Iteration 1328: log pseudolikelihood = -309.83288  (not concave)
Iteration 1329: log pseudolikelihood = -309.83274  (not concave)
Iteration 1330: log pseudolikelihood = -309.83259  (not concave)
Iteration 1331: log pseudolikelihood = -309.83245  (not concave)
Iteration 1332: log pseudolikelihood =  -309.8323  (not concave)
Iteration 1333: log pseudolikelihood = -309.83216  (not concave)
Iteration 1334: log pseudolikelihood = -309.83201  (not concave)
Iteration 1335: log pseudolikelihood = -309.83186  (not concave)
Iteration 1336: log pseudolikelihood = -309.83172  (not concave)
Iteration 1337: log pseudolikelihood = -309.83157  (not concave)
Iteration 1338: log pseudolikelihood = -309.83143  (not concave)
Iteration 1339: log pseudolikelihood = -309.83128  (not concave)
Iteration 1340: log pseudolikelihood = -309.83114  (not concave)
Iteration 1341: log pseudolikelihood = -309.83099  (not concave)
Iteration 1342: log pseudolikelihood = -309.83085  (not concave)
Iteration 1343: log pseudolikelihood =  -309.8307  (not concave)
Iteration 1344: log pseudolikelihood = -309.83055  (not concave)
Iteration 1345: log pseudolikelihood = -309.83041  (not concave)
Iteration 1346: log pseudolikelihood = -309.83026  (not concave)
Iteration 1347: log pseudolikelihood = -309.83012  (not concave)
Iteration 1348: log pseudolikelihood = -309.82997  (not concave)
Iteration 1349: log pseudolikelihood = -309.82983  (not concave)
Iteration 1350: log pseudolikelihood = -309.82968  (not concave)
Iteration 1351: log pseudolikelihood = -309.82953  (not concave)
Iteration 1352: log pseudolikelihood = -309.82939  (not concave)
Iteration 1353: log pseudolikelihood = -309.82924  (not concave)
Iteration 1354: log pseudolikelihood =  -309.8291  (not concave)
Iteration 1355: log pseudolikelihood = -309.82895  (not concave)
Iteration 1356: log pseudolikelihood =  -309.8288  (not concave)
Iteration 1357: log pseudolikelihood = -309.82866  (not concave)
Iteration 1358: log pseudolikelihood = -309.82851  (not concave)
Iteration 1359: log pseudolikelihood = -309.82837  (not concave)
Iteration 1360: log pseudolikelihood = -309.82822  (not concave)
Iteration 1361: log pseudolikelihood = -309.82807  (not concave)
Iteration 1362: log pseudolikelihood = -309.82793  (not concave)
Iteration 1363: log pseudolikelihood = -309.82778  (not concave)
Iteration 1364: log pseudolikelihood = -309.82764  (not concave)
Iteration 1365: log pseudolikelihood = -309.82749  (not concave)
Iteration 1366: log pseudolikelihood = -309.82734  (not concave)
Iteration 1367: log pseudolikelihood =  -309.8272  (not concave)
Iteration 1368: log pseudolikelihood = -309.82705  (not concave)
Iteration 1369: log pseudolikelihood =  -309.8269  (not concave)
Iteration 1370: log pseudolikelihood = -309.82676  (not concave)
Iteration 1371: log pseudolikelihood = -309.82661  (not concave)
Iteration 1372: log pseudolikelihood = -309.82647  (not concave)
Iteration 1373: log pseudolikelihood = -309.82632  (not concave)
Iteration 1374: log pseudolikelihood = -309.82617  (not concave)
Iteration 1375: log pseudolikelihood = -309.82603  (not concave)
Iteration 1376: log pseudolikelihood = -309.82588  (not concave)
Iteration 1377: log pseudolikelihood = -309.82573  (not concave)
Iteration 1378: log pseudolikelihood = -309.82559  (not concave)
Iteration 1379: log pseudolikelihood = -309.82544  (not concave)
Iteration 1380: log pseudolikelihood =  -309.8253  (not concave)
Iteration 1381: log pseudolikelihood = -309.82515  (not concave)
Iteration 1382: log pseudolikelihood =   -309.825  (not concave)
Iteration 1383: log pseudolikelihood = -309.82486  (not concave)
Iteration 1384: log pseudolikelihood = -309.82471  (not concave)
Iteration 1385: log pseudolikelihood = -309.82456  (not concave)
Iteration 1386: log pseudolikelihood = -309.82442  (not concave)
Iteration 1387: log pseudolikelihood = -309.82427  (not concave)
Iteration 1388: log pseudolikelihood = -309.82412  (not concave)
Iteration 1389: log pseudolikelihood = -309.82398  (not concave)
Iteration 1390: log pseudolikelihood = -309.82383  (not concave)
Iteration 1391: log pseudolikelihood = -309.82368  (not concave)
Iteration 1392: log pseudolikelihood = -309.82354  (not concave)
Iteration 1393: log pseudolikelihood = -309.82339  (not concave)
Iteration 1394: log pseudolikelihood = -309.82324  (not concave)
Iteration 1395: log pseudolikelihood =  -309.8231  (not concave)
Iteration 1396: log pseudolikelihood = -309.82295  (not concave)
Iteration 1397: log pseudolikelihood =  -309.8228  (not concave)
Iteration 1398: log pseudolikelihood = -309.82266  (not concave)
Iteration 1399: log pseudolikelihood = -309.82251  (not concave)
Iteration 1400: log pseudolikelihood = -309.82236  (not concave)
Iteration 1401: log pseudolikelihood = -309.82222  (not concave)
Iteration 1402: log pseudolikelihood = -309.82207  (not concave)
Iteration 1403: log pseudolikelihood = -309.82192  (not concave)
Iteration 1404: log pseudolikelihood = -309.82178  (not concave)
Iteration 1405: log pseudolikelihood = -309.82163  (not concave)
Iteration 1406: log pseudolikelihood = -309.82148  (not concave)
Iteration 1407: log pseudolikelihood = -309.82134  (not concave)
Iteration 1408: log pseudolikelihood = -309.82119  (not concave)
Iteration 1409: log pseudolikelihood = -309.82104  (not concave)
Iteration 1410: log pseudolikelihood = -309.82089  (not concave)
Iteration 1411: log pseudolikelihood = -309.82075  (not concave)
Iteration 1412: log pseudolikelihood =  -309.8206  (not concave)
Iteration 1413: log pseudolikelihood = -309.82045  (not concave)
Iteration 1414: log pseudolikelihood = -309.82031  (not concave)
Iteration 1415: log pseudolikelihood = -309.82016  (not concave)
Iteration 1416: log pseudolikelihood = -309.82001  (not concave)
Iteration 1417: log pseudolikelihood = -309.81987  (not concave)
Iteration 1418: log pseudolikelihood = -309.81972  (not concave)
Iteration 1419: log pseudolikelihood = -309.81957  (not concave)
Iteration 1420: log pseudolikelihood = -309.81943  (not concave)
Iteration 1421: log pseudolikelihood = -309.81928  (not concave)
Iteration 1422: log pseudolikelihood = -309.81913  (not concave)
Iteration 1423: log pseudolikelihood = -309.81898  (not concave)
Iteration 1424: log pseudolikelihood = -309.81884  (not concave)
Iteration 1425: log pseudolikelihood = -309.81869  (not concave)
Iteration 1426: log pseudolikelihood = -309.81854  (not concave)
Iteration 1427: log pseudolikelihood =  -309.8184  (not concave)
Iteration 1428: log pseudolikelihood = -309.81825  (not concave)
Iteration 1429: log pseudolikelihood =  -309.8181  (not concave)
Iteration 1430: log pseudolikelihood = -309.81795  (not concave)
Iteration 1431: log pseudolikelihood = -309.81781  (not concave)
Iteration 1432: log pseudolikelihood = -309.81766  (not concave)
Iteration 1433: log pseudolikelihood = -309.81751  (not concave)
Iteration 1434: log pseudolikelihood = -309.81737  (not concave)
Iteration 1435: log pseudolikelihood = -309.81722  (not concave)
Iteration 1436: log pseudolikelihood = -309.81707  (not concave)
Iteration 1437: log pseudolikelihood = -309.81692  (not concave)
Iteration 1438: log pseudolikelihood = -309.81678  (not concave)
Iteration 1439: log pseudolikelihood = -309.81663  (not concave)
Iteration 1440: log pseudolikelihood = -309.81648  (not concave)
Iteration 1441: log pseudolikelihood = -309.81633  (not concave)
Iteration 1442: log pseudolikelihood = -309.81619  (not concave)
Iteration 1443: log pseudolikelihood = -309.81604  (not concave)
Iteration 1444: log pseudolikelihood = -309.81589  (not concave)
Iteration 1445: log pseudolikelihood = -309.81575  (not concave)
Iteration 1446: log pseudolikelihood =  -309.8156  (not concave)
Iteration 1447: log pseudolikelihood = -309.81545  (not concave)
Iteration 1448: log pseudolikelihood =  -309.8153  (not concave)
Iteration 1449: log pseudolikelihood = -309.81516  (not concave)
Iteration 1450: log pseudolikelihood = -309.81501  (not concave)
Iteration 1451: log pseudolikelihood = -309.81486  (not concave)
Iteration 1452: log pseudolikelihood = -309.81471  (not concave)
Iteration 1453: log pseudolikelihood = -309.81457  (not concave)
Iteration 1454: log pseudolikelihood = -309.81442  (not concave)
Iteration 1455: log pseudolikelihood = -309.81427  (not concave)
Iteration 1456: log pseudolikelihood = -309.81412  (not concave)
Iteration 1457: log pseudolikelihood = -309.81398  (not concave)
Iteration 1458: log pseudolikelihood = -309.81383  (not concave)
Iteration 1459: log pseudolikelihood = -309.81368  (not concave)
Iteration 1460: log pseudolikelihood = -309.81353  (not concave)
Iteration 1461: log pseudolikelihood = -309.81339  (not concave)
Iteration 1462: log pseudolikelihood = -309.81324  (not concave)
Iteration 1463: log pseudolikelihood = -309.81309  (not concave)
Iteration 1464: log pseudolikelihood = -309.81294  (not concave)
Iteration 1465: log pseudolikelihood =  -309.8128  (not concave)
Iteration 1466: log pseudolikelihood = -309.81265  (not concave)
Iteration 1467: log pseudolikelihood =  -309.8125  (not concave)
Iteration 1468: log pseudolikelihood = -309.81235  (not concave)
Iteration 1469: log pseudolikelihood = -309.81221  (not concave)
Iteration 1470: log pseudolikelihood = -309.81206  (not concave)
Iteration 1471: log pseudolikelihood = -309.81191  (not concave)
Iteration 1472: log pseudolikelihood = -309.81176  (not concave)
Iteration 1473: log pseudolikelihood = -309.81162  (not concave)
Iteration 1474: log pseudolikelihood = -309.81147  (not concave)
Iteration 1475: log pseudolikelihood = -309.81132  (not concave)
Iteration 1476: log pseudolikelihood = -309.81117  (not concave)
Iteration 1477: log pseudolikelihood = -309.81103  (not concave)
Iteration 1478: log pseudolikelihood = -309.81088  (not concave)
Iteration 1479: log pseudolikelihood = -309.81073  (not concave)
Iteration 1480: log pseudolikelihood = -309.81058  (not concave)
Iteration 1481: log pseudolikelihood = -309.81044  (not concave)
Iteration 1482: log pseudolikelihood = -309.81029  (not concave)
Iteration 1483: log pseudolikelihood = -309.81014  (not concave)
Iteration 1484: log pseudolikelihood = -309.80999  (not concave)
Iteration 1485: log pseudolikelihood = -309.80985  (not concave)
Iteration 1486: log pseudolikelihood =  -309.8097  (not concave)
Iteration 1487: log pseudolikelihood = -309.80955  (not concave)
Iteration 1488: log pseudolikelihood =  -309.8094  (not concave)
Iteration 1489: log pseudolikelihood = -309.80926  (not concave)
Iteration 1490: log pseudolikelihood = -309.80911  (not concave)
Iteration 1491: log pseudolikelihood = -309.80896  (not concave)
Iteration 1492: log pseudolikelihood = -309.80881  (not concave)
Iteration 1493: log pseudolikelihood = -309.80867  (not concave)
Iteration 1494: log pseudolikelihood = -309.80852  (not concave)
Iteration 1495: log pseudolikelihood = -309.80837  (not concave)
Iteration 1496: log pseudolikelihood = -309.80822  (not concave)
Iteration 1497: log pseudolikelihood = -309.80807  (not concave)
Iteration 1498: log pseudolikelihood = -309.80793  (not concave)
Iteration 1499: log pseudolikelihood = -309.80778  (not concave)
Iteration 1500: log pseudolikelihood = -309.80763  (not concave)
Iteration 1501: log pseudolikelihood = -309.80748  (not concave)
Iteration 1502: log pseudolikelihood = -309.80734  (not concave)
Iteration 1503: log pseudolikelihood = -309.80719  (not concave)
Iteration 1504: log pseudolikelihood = -309.80704  (not concave)
Iteration 1505: log pseudolikelihood = -309.80689  (not concave)
Iteration 1506: log pseudolikelihood = -309.80675  (not concave)
Iteration 1507: log pseudolikelihood =  -309.8066  (not concave)
Iteration 1508: log pseudolikelihood = -309.80645  (not concave)
Iteration 1509: log pseudolikelihood =  -309.8063  (not concave)
Iteration 1510: log pseudolikelihood = -309.80615  (not concave)
Iteration 1511: log pseudolikelihood = -309.80601  (not concave)
Iteration 1512: log pseudolikelihood = -309.80586  (not concave)
Iteration 1513: log pseudolikelihood = -309.80571  (not concave)
Iteration 1514: log pseudolikelihood = -309.80556  (not concave)
Iteration 1515: log pseudolikelihood = -309.80542  (not concave)
Iteration 1516: log pseudolikelihood = -309.80527  (not concave)
Iteration 1517: log pseudolikelihood = -309.80512  (not concave)
Iteration 1518: log pseudolikelihood = -309.80497  (not concave)
Iteration 1519: log pseudolikelihood = -309.80483  (not concave)
Iteration 1520: log pseudolikelihood = -309.80468  (not concave)
Iteration 1521: log pseudolikelihood = -309.80453  (not concave)
Iteration 1522: log pseudolikelihood = -309.80438  (not concave)
Iteration 1523: log pseudolikelihood = -309.80423  (not concave)
Iteration 1524: log pseudolikelihood = -309.80409  (not concave)
Iteration 1525: log pseudolikelihood = -309.80394  (not concave)
Iteration 1526: log pseudolikelihood = -309.80379  (not concave)
Iteration 1527: log pseudolikelihood = -309.80364  (not concave)
Iteration 1528: log pseudolikelihood =  -309.8035  (not concave)
Iteration 1529: log pseudolikelihood = -309.80335  (not concave)
Iteration 1530: log pseudolikelihood =  -309.8032  (not concave)
Iteration 1531: log pseudolikelihood = -309.80305  (not concave)
Iteration 1532: log pseudolikelihood =  -309.8029  (not concave)
Iteration 1533: log pseudolikelihood = -309.80276  (not concave)
Iteration 1534: log pseudolikelihood = -309.80261  (not concave)
Iteration 1535: log pseudolikelihood = -309.80246  (not concave)
Iteration 1536: log pseudolikelihood = -309.80231  (not concave)
Iteration 1537: log pseudolikelihood = -309.80217  (not concave)
Iteration 1538: log pseudolikelihood = -309.80202  (not concave)
Iteration 1539: log pseudolikelihood = -309.80187  (not concave)
Iteration 1540: log pseudolikelihood = -309.80172  (not concave)
Iteration 1541: log pseudolikelihood = -309.80157  (not concave)
Iteration 1542: log pseudolikelihood = -309.80143  (not concave)
Iteration 1543: log pseudolikelihood = -309.80128  (not concave)
Iteration 1544: log pseudolikelihood = -309.80113  (not concave)
Iteration 1545: log pseudolikelihood = -309.80098  (not concave)
Iteration 1546: log pseudolikelihood = -309.80084  (not concave)
Iteration 1547: log pseudolikelihood = -309.80069  (not concave)
Iteration 1548: log pseudolikelihood = -309.80054  (not concave)
Iteration 1549: log pseudolikelihood = -309.80039  (not concave)
Iteration 1550: log pseudolikelihood = -309.80024  (not concave)
Iteration 1551: log pseudolikelihood =  -309.8001  (not concave)
Iteration 1552: log pseudolikelihood = -309.79995  (not concave)
Iteration 1553: log pseudolikelihood =  -309.7998  (not concave)
Iteration 1554: log pseudolikelihood = -309.79965  (not concave)
Iteration 1555: log pseudolikelihood = -309.79951  (not concave)
Iteration 1556: log pseudolikelihood = -309.79936  (not concave)
Iteration 1557: log pseudolikelihood = -309.79921  (not concave)
Iteration 1558: log pseudolikelihood = -309.79906  (not concave)
Iteration 1559: log pseudolikelihood = -309.79891  (not concave)
Iteration 1560: log pseudolikelihood = -309.79877  (not concave)
Iteration 1561: log pseudolikelihood = -309.79862  (not concave)
Iteration 1562: log pseudolikelihood = -309.79847  (not concave)
Iteration 1563: log pseudolikelihood = -309.79832  (not concave)
Iteration 1564: log pseudolikelihood = -309.79818  (not concave)
Iteration 1565: log pseudolikelihood = -309.79803  (not concave)
Iteration 1566: log pseudolikelihood = -309.79788  (not concave)
Iteration 1567: log pseudolikelihood = -309.79773  (not concave)
Iteration 1568: log pseudolikelihood = -309.79758  (not concave)
Iteration 1569: log pseudolikelihood = -309.79744  (not concave)
Iteration 1570: log pseudolikelihood = -309.79729  (not concave)
Iteration 1571: log pseudolikelihood = -309.79714  (not concave)
Iteration 1572: log pseudolikelihood = -309.79699  (not concave)
Iteration 1573: log pseudolikelihood = -309.79685  (not concave)
Iteration 1574: log pseudolikelihood =  -309.7967  (not concave)
Iteration 1575: log pseudolikelihood = -309.79655  (not concave)
Iteration 1576: log pseudolikelihood =  -309.7964  (not concave)
Iteration 1577: log pseudolikelihood = -309.79626  (not concave)
Iteration 1578: log pseudolikelihood = -309.79611  (not concave)
Iteration 1579: log pseudolikelihood = -309.79596  (not concave)
Iteration 1580: log pseudolikelihood = -309.79581  (not concave)
Iteration 1581: log pseudolikelihood = -309.79566  (not concave)
Iteration 1582: log pseudolikelihood = -309.79552  (not concave)
Iteration 1583: log pseudolikelihood = -309.79537  (not concave)
Iteration 1584: log pseudolikelihood = -309.79522  (not concave)
Iteration 1585: log pseudolikelihood = -309.79507  (not concave)
Iteration 1586: log pseudolikelihood = -309.79493  (not concave)
Iteration 1587: log pseudolikelihood = -309.79478  (not concave)
Iteration 1588: log pseudolikelihood = -309.79463  (not concave)
Iteration 1589: log pseudolikelihood = -309.79448  (not concave)
Iteration 1590: log pseudolikelihood = -309.79433  (not concave)
Iteration 1591: log pseudolikelihood = -309.79419  (not concave)
Iteration 1592: log pseudolikelihood = -309.79404  (not concave)
Iteration 1593: log pseudolikelihood = -309.79389  (not concave)
Iteration 1594: log pseudolikelihood = -309.79374  (not concave)
Iteration 1595: log pseudolikelihood =  -309.7936  (not concave)
Iteration 1596: log pseudolikelihood = -309.79345  (not concave)
Iteration 1597: log pseudolikelihood =  -309.7933  (not concave)
Iteration 1598: log pseudolikelihood = -309.79315  (not concave)
Iteration 1599: log pseudolikelihood = -309.79301  (not concave)
Iteration 1600: log pseudolikelihood = -309.79286  (not concave)
Iteration 1601: log pseudolikelihood = -309.79271  (not concave)
Iteration 1602: log pseudolikelihood = -309.79256  (not concave)
Iteration 1603: log pseudolikelihood = -309.79242  (not concave)
Iteration 1604: log pseudolikelihood = -309.79227  (not concave)
Iteration 1605: log pseudolikelihood = -309.79212  (not concave)
Iteration 1606: log pseudolikelihood = -309.79197  (not concave)
Iteration 1607: log pseudolikelihood = -309.79182  (not concave)
Iteration 1608: log pseudolikelihood = -309.79168  (not concave)
Iteration 1609: log pseudolikelihood = -309.79153  (not concave)
Iteration 1610: log pseudolikelihood = -309.79138  (not concave)
Iteration 1611: log pseudolikelihood = -309.79123  (not concave)
Iteration 1612: log pseudolikelihood = -309.79109  (not concave)
Iteration 1613: log pseudolikelihood = -309.79094  (not concave)
Iteration 1614: log pseudolikelihood = -309.79079  (not concave)
Iteration 1615: log pseudolikelihood = -309.79064  (not concave)
Iteration 1616: log pseudolikelihood =  -309.7905  (not concave)
Iteration 1617: log pseudolikelihood = -309.79035  (not concave)
Iteration 1618: log pseudolikelihood =  -309.7902  (not concave)
Iteration 1619: log pseudolikelihood = -309.79005  (not concave)
Iteration 1620: log pseudolikelihood = -309.78991  (not concave)
Iteration 1621: log pseudolikelihood = -309.78976  (not concave)
Iteration 1622: log pseudolikelihood = -309.78961  (not concave)
Iteration 1623: log pseudolikelihood = -309.78946  (not concave)
Iteration 1624: log pseudolikelihood = -309.78932  (not concave)
Iteration 1625: log pseudolikelihood = -309.78917  (not concave)
Iteration 1626: log pseudolikelihood = -309.78902  (not concave)
Iteration 1627: log pseudolikelihood = -309.78887  (not concave)
Iteration 1628: log pseudolikelihood = -309.78873  (not concave)
Iteration 1629: log pseudolikelihood = -309.78858  (not concave)
Iteration 1630: log pseudolikelihood = -309.78843  (not concave)
Iteration 1631: log pseudolikelihood = -309.78828  (not concave)
Iteration 1632: log pseudolikelihood = -309.78814  (not concave)
Iteration 1633: log pseudolikelihood = -309.78799  (not concave)
Iteration 1634: log pseudolikelihood = -309.78784  (not concave)
Iteration 1635: log pseudolikelihood = -309.78769  (not concave)
Iteration 1636: log pseudolikelihood = -309.78755  (not concave)
Iteration 1637: log pseudolikelihood =  -309.7874  (not concave)
Iteration 1638: log pseudolikelihood = -309.78725  (not concave)
Iteration 1639: log pseudolikelihood =  -309.7871  (not concave)
Iteration 1640: log pseudolikelihood = -309.78696  (not concave)
Iteration 1641: log pseudolikelihood = -309.78681  (not concave)
Iteration 1642: log pseudolikelihood = -309.78666  (not concave)
Iteration 1643: log pseudolikelihood = -309.78651  (not concave)
Iteration 1644: log pseudolikelihood = -309.78637  (not concave)
Iteration 1645: log pseudolikelihood = -309.78622  (not concave)
Iteration 1646: log pseudolikelihood = -309.78607  (not concave)
Iteration 1647: log pseudolikelihood = -309.78592  (not concave)
Iteration 1648: log pseudolikelihood = -309.78578  (not concave)
Iteration 1649: log pseudolikelihood = -309.78563  (not concave)
Iteration 1650: log pseudolikelihood = -309.78548  (not concave)
Iteration 1651: log pseudolikelihood = -309.78533  (not concave)
Iteration 1652: log pseudolikelihood = -309.78519  (not concave)
Iteration 1653: log pseudolikelihood = -309.78504  (not concave)
Iteration 1654: log pseudolikelihood = -309.78489  (not concave)
Iteration 1655: log pseudolikelihood = -309.78474  (not concave)
Iteration 1656: log pseudolikelihood =  -309.7846  (not concave)
Iteration 1657: log pseudolikelihood = -309.78445  (not concave)
Iteration 1658: log pseudolikelihood =  -309.7843  (not concave)
Iteration 1659: log pseudolikelihood = -309.78416  (not concave)
Iteration 1660: log pseudolikelihood = -309.78401  (not concave)
Iteration 1661: log pseudolikelihood = -309.78386  (not concave)
Iteration 1662: log pseudolikelihood = -309.78371  (not concave)
Iteration 1663: log pseudolikelihood = -309.78357  (not concave)
Iteration 1664: log pseudolikelihood = -309.78342  (not concave)
Iteration 1665: log pseudolikelihood = -309.78327  (not concave)
Iteration 1666: log pseudolikelihood = -309.78312  (not concave)
Iteration 1667: log pseudolikelihood = -309.78298  (not concave)
Iteration 1668: log pseudolikelihood = -309.78283  (not concave)
Iteration 1669: log pseudolikelihood = -309.78268  (not concave)
Iteration 1670: log pseudolikelihood = -309.78254  (not concave)
Iteration 1671: log pseudolikelihood = -309.78239  (not concave)
Iteration 1672: log pseudolikelihood = -309.78224  (not concave)
Iteration 1673: log pseudolikelihood = -309.78209  (not concave)
Iteration 1674: log pseudolikelihood = -309.78195  (not concave)
Iteration 1675: log pseudolikelihood =  -309.7818  (not concave)
Iteration 1676: log pseudolikelihood = -309.78165  (not concave)
Iteration 1677: log pseudolikelihood =  -309.7815  (not concave)
Iteration 1678: log pseudolikelihood = -309.78136  (not concave)
Iteration 1679: log pseudolikelihood = -309.78121  (not concave)
Iteration 1680: log pseudolikelihood = -309.78106  (not concave)
Iteration 1681: log pseudolikelihood = -309.78092  (not concave)
Iteration 1682: log pseudolikelihood = -309.78077  (not concave)
Iteration 1683: log pseudolikelihood = -309.78062  (not concave)
Iteration 1684: log pseudolikelihood = -309.78047  (not concave)
Iteration 1685: log pseudolikelihood = -309.78033  (not concave)
Iteration 1686: log pseudolikelihood = -309.78018  (not concave)
Iteration 1687: log pseudolikelihood = -309.78003  (not concave)
Iteration 1688: log pseudolikelihood = -309.77989  (not concave)
Iteration 1689: log pseudolikelihood = -309.77974  (not concave)
Iteration 1690: log pseudolikelihood = -309.77959  (not concave)
Iteration 1691: log pseudolikelihood = -309.77944  (not concave)
Iteration 1692: log pseudolikelihood =  -309.7793  (not concave)
Iteration 1693: log pseudolikelihood = -309.77915  (not concave)
Iteration 1694: log pseudolikelihood =   -309.779  (not concave)
Iteration 1695: log pseudolikelihood = -309.77886  (not concave)
Iteration 1696: log pseudolikelihood = -309.77871  (not concave)
Iteration 1697: log pseudolikelihood = -309.77856  (not concave)
Iteration 1698: log pseudolikelihood = -309.77842  (not concave)
Iteration 1699: log pseudolikelihood = -309.77827  (not concave)
Iteration 1700: log pseudolikelihood = -309.77812  (not concave)
Iteration 1701: log pseudolikelihood = -309.77797  (not concave)
Iteration 1702: log pseudolikelihood = -309.77783  (not concave)
Iteration 1703: log pseudolikelihood = -309.77768  (not concave)
Iteration 1704: log pseudolikelihood = -309.77753  (not concave)
Iteration 1705: log pseudolikelihood = -309.77739  (not concave)
Iteration 1706: log pseudolikelihood = -309.77724  (not concave)
Iteration 1707: log pseudolikelihood = -309.77709  (not concave)
Iteration 1708: log pseudolikelihood = -309.77695  (not concave)
Iteration 1709: log pseudolikelihood =  -309.7768  (not concave)
Iteration 1710: log pseudolikelihood = -309.77665  (not concave)
Iteration 1711: log pseudolikelihood =  -309.7765  (not concave)
Iteration 1712: log pseudolikelihood = -309.77636  (not concave)
Iteration 1713: log pseudolikelihood = -309.77621  (not concave)
Iteration 1714: log pseudolikelihood = -309.77606  (not concave)
Iteration 1715: log pseudolikelihood = -309.77592  (not concave)
Iteration 1716: log pseudolikelihood = -309.77577  (not concave)
Iteration 1717: log pseudolikelihood = -309.77562  (not concave)
Iteration 1718: log pseudolikelihood = -309.77548  (not concave)
Iteration 1719: log pseudolikelihood = -309.77533  (not concave)
Iteration 1720: log pseudolikelihood = -309.77518  (not concave)
Iteration 1721: log pseudolikelihood = -309.77504  (not concave)
Iteration 1722: log pseudolikelihood = -309.77489  (not concave)
Iteration 1723: log pseudolikelihood = -309.77474  (not concave)
Iteration 1724: log pseudolikelihood =  -309.7746  (not concave)
Iteration 1725: log pseudolikelihood = -309.77445  (not concave)
Iteration 1726: log pseudolikelihood =  -309.7743  (not concave)
Iteration 1727: log pseudolikelihood = -309.77416  (not concave)
Iteration 1728: log pseudolikelihood = -309.77401  (not concave)
Iteration 1729: log pseudolikelihood = -309.77386  (not concave)
Iteration 1730: log pseudolikelihood = -309.77371  (not concave)
Iteration 1731: log pseudolikelihood = -309.77357  (not concave)
Iteration 1732: log pseudolikelihood = -309.77342  (not concave)
Iteration 1733: log pseudolikelihood = -309.77327  (not concave)
Iteration 1734: log pseudolikelihood = -309.77313  (not concave)
Iteration 1735: log pseudolikelihood = -309.77298  (not concave)
Iteration 1736: log pseudolikelihood = -309.77283  (not concave)
Iteration 1737: log pseudolikelihood = -309.77269  (not concave)
Iteration 1738: log pseudolikelihood = -309.77254  (not concave)
Iteration 1739: log pseudolikelihood = -309.77239  (not concave)
Iteration 1740: log pseudolikelihood = -309.77225  (not concave)
Iteration 1741: log pseudolikelihood =  -309.7721  (not concave)
Iteration 1742: log pseudolikelihood = -309.77195  (not concave)
Iteration 1743: log pseudolikelihood = -309.77181  (not concave)
Iteration 1744: log pseudolikelihood = -309.77166  (not concave)
Iteration 1745: log pseudolikelihood = -309.77151  (not concave)
Iteration 1746: log pseudolikelihood = -309.77137  (not concave)
Iteration 1747: log pseudolikelihood = -309.77122  (not concave)
Iteration 1748: log pseudolikelihood = -309.77108  (not concave)
Iteration 1749: log pseudolikelihood = -309.77093  (not concave)
Iteration 1750: log pseudolikelihood = -309.77078  (not concave)
Iteration 1751: log pseudolikelihood = -309.77064  (not concave)
Iteration 1752: log pseudolikelihood = -309.77049  (not concave)
Iteration 1753: log pseudolikelihood = -309.77034  (not concave)
Iteration 1754: log pseudolikelihood =  -309.7702  (not concave)
Iteration 1755: log pseudolikelihood = -309.77005  (not concave)
Iteration 1756: log pseudolikelihood =  -309.7699  (not concave)
Iteration 1757: log pseudolikelihood = -309.76976  (not concave)
Iteration 1758: log pseudolikelihood = -309.76961  (not concave)
Iteration 1759: log pseudolikelihood = -309.76946  (not concave)
Iteration 1760: log pseudolikelihood = -309.76932  (not concave)
Iteration 1761: log pseudolikelihood = -309.76917  (not concave)
Iteration 1762: log pseudolikelihood = -309.76902  (not concave)
Iteration 1763: log pseudolikelihood = -309.76888  (not concave)
Iteration 1764: log pseudolikelihood = -309.76873  (not concave)
Iteration 1765: log pseudolikelihood = -309.76858  (not concave)
Iteration 1766: log pseudolikelihood = -309.76844  (not concave)
Iteration 1767: log pseudolikelihood = -309.76829  (not concave)
Iteration 1768: log pseudolikelihood = -309.76815  (not concave)
Iteration 1769: log pseudolikelihood =   -309.768  (not concave)
Iteration 1770: log pseudolikelihood = -309.76785  (not concave)
Iteration 1771: log pseudolikelihood = -309.76771  (not concave)
Iteration 1772: log pseudolikelihood = -309.76756  (not concave)
Iteration 1773: log pseudolikelihood = -309.76741  (not concave)
Iteration 1774: log pseudolikelihood = -309.76727  (not concave)
Iteration 1775: log pseudolikelihood = -309.76712  (not concave)
Iteration 1776: log pseudolikelihood = -309.76698  (not concave)
Iteration 1777: log pseudolikelihood = -309.76683  (not concave)
Iteration 1778: log pseudolikelihood = -309.76668  (not concave)
Iteration 1779: log pseudolikelihood = -309.76654  (not concave)
Iteration 1780: log pseudolikelihood = -309.76639  (not concave)
Iteration 1781: log pseudolikelihood = -309.76624  (not concave)
Iteration 1782: log pseudolikelihood =  -309.7661  (not concave)
Iteration 1783: log pseudolikelihood = -309.76595  (not concave)
Iteration 1784: log pseudolikelihood = -309.76581  (not concave)
Iteration 1785: log pseudolikelihood = -309.76566  (not concave)
Iteration 1786: log pseudolikelihood = -309.76551  (not concave)
Iteration 1787: log pseudolikelihood = -309.76537  (not concave)
Iteration 1788: log pseudolikelihood = -309.76522  (not concave)
Iteration 1789: log pseudolikelihood = -309.76507  (not concave)
Iteration 1790: log pseudolikelihood = -309.76493  (not concave)
Iteration 1791: log pseudolikelihood = -309.76478  (not concave)
Iteration 1792: log pseudolikelihood = -309.76464  (not concave)
Iteration 1793: log pseudolikelihood = -309.76449  (not concave)
Iteration 1794: log pseudolikelihood = -309.76434  (not concave)
Iteration 1795: log pseudolikelihood =  -309.7642  (not concave)
Iteration 1796: log pseudolikelihood = -309.76405  (not concave)
Iteration 1797: log pseudolikelihood = -309.76391  (not concave)
Iteration 1798: log pseudolikelihood = -309.76376  (not concave)
Iteration 1799: log pseudolikelihood = -309.76361  (not concave)
Iteration 1800: log pseudolikelihood = -309.76347  (not concave)
Iteration 1801: log pseudolikelihood = -309.76332  (not concave)
Iteration 1802: log pseudolikelihood = -309.76318  (not concave)
Iteration 1803: log pseudolikelihood = -309.76303  (not concave)
Iteration 1804: log pseudolikelihood = -309.76288  (not concave)
Iteration 1805: log pseudolikelihood = -309.76274  (not concave)
Iteration 1806: log pseudolikelihood = -309.76259  (not concave)
Iteration 1807: log pseudolikelihood = -309.76245  (not concave)
Iteration 1808: log pseudolikelihood =  -309.7623  (not concave)
Iteration 1809: log pseudolikelihood = -309.76215  (not concave)
Iteration 1810: log pseudolikelihood = -309.76201  (not concave)
Iteration 1811: log pseudolikelihood = -309.76186  (not concave)
Iteration 1812: log pseudolikelihood = -309.76172  (not concave)
Iteration 1813: log pseudolikelihood = -309.76157  (not concave)
Iteration 1814: log pseudolikelihood = -309.76142  (not concave)
Iteration 1815: log pseudolikelihood = -309.76128  (not concave)
Iteration 1816: log pseudolikelihood = -309.76113  (not concave)
Iteration 1817: log pseudolikelihood = -309.76099  (not concave)
Iteration 1818: log pseudolikelihood = -309.76084  (not concave)
Iteration 1819: log pseudolikelihood = -309.76069  (not concave)
Iteration 1820: log pseudolikelihood = -309.76055  (not concave)
Iteration 1821: log pseudolikelihood =  -309.7604  (not concave)
Iteration 1822: log pseudolikelihood = -309.76026  (not concave)
Iteration 1823: log pseudolikelihood = -309.76011  (not concave)
Iteration 1824: log pseudolikelihood = -309.75997  (not concave)
Iteration 1825: log pseudolikelihood = -309.75982  (not concave)
Iteration 1826: log pseudolikelihood = -309.75967  (not concave)
Iteration 1827: log pseudolikelihood = -309.75953  (not concave)
Iteration 1828: log pseudolikelihood = -309.75938  (not concave)
Iteration 1829: log pseudolikelihood = -309.75924  (not concave)
Iteration 1830: log pseudolikelihood = -309.75909  (not concave)
Iteration 1831: log pseudolikelihood = -309.75895  (not concave)
Iteration 1832: log pseudolikelihood =  -309.7588  (not concave)
Iteration 1833: log pseudolikelihood = -309.75865  (not concave)
Iteration 1834: log pseudolikelihood = -309.75851  (not concave)
Iteration 1835: log pseudolikelihood = -309.75836  (not concave)
Iteration 1836: log pseudolikelihood = -309.75822  (not concave)
Iteration 1837: log pseudolikelihood = -309.75807  (not concave)
Iteration 1838: log pseudolikelihood = -309.75793  (not concave)
Iteration 1839: log pseudolikelihood = -309.75778  (not concave)
Iteration 1840: log pseudolikelihood = -309.75763  (not concave)
Iteration 1841: log pseudolikelihood = -309.75749  (not concave)
Iteration 1842: log pseudolikelihood = -309.75734  (not concave)
Iteration 1843: log pseudolikelihood =  -309.7572  (not concave)
Iteration 1844: log pseudolikelihood = -309.75705  (not concave)
Iteration 1845: log pseudolikelihood = -309.75691  (not concave)
Iteration 1846: log pseudolikelihood = -309.75676  (not concave)
Iteration 1847: log pseudolikelihood = -309.75662  (not concave)
Iteration 1848: log pseudolikelihood = -309.75647  (not concave)
Iteration 1849: log pseudolikelihood = -309.75632  (not concave)
Iteration 1850: log pseudolikelihood = -309.75618  (not concave)
Iteration 1851: log pseudolikelihood = -309.75603  (not concave)
Iteration 1852: log pseudolikelihood = -309.75589  (not concave)
Iteration 1853: log pseudolikelihood = -309.75574  (not concave)
Iteration 1854: log pseudolikelihood =  -309.7556  (not concave)
Iteration 1855: log pseudolikelihood = -309.75545  (not concave)
Iteration 1856: log pseudolikelihood = -309.75531  (not concave)
Iteration 1857: log pseudolikelihood = -309.75516  (not concave)
Iteration 1858: log pseudolikelihood = -309.75502  (not concave)
Iteration 1859: log pseudolikelihood = -309.75487  (not concave)
Iteration 1860: log pseudolikelihood = -309.75472  (not concave)
Iteration 1861: log pseudolikelihood = -309.75458  (not concave)
Iteration 1862: log pseudolikelihood = -309.75443  (not concave)
Iteration 1863: log pseudolikelihood = -309.75429  (not concave)
Iteration 1864: log pseudolikelihood = -309.75414  (not concave)
Iteration 1865: log pseudolikelihood =   -309.754  (not concave)
Iteration 1866: log pseudolikelihood = -309.75385  (not concave)
Iteration 1867: log pseudolikelihood = -309.75371  (not concave)
Iteration 1868: log pseudolikelihood = -309.75356  (not concave)
Iteration 1869: log pseudolikelihood = -309.75342  (not concave)
Iteration 1870: log pseudolikelihood = -309.75327  (not concave)
Iteration 1871: log pseudolikelihood = -309.75313  (not concave)
Iteration 1872: log pseudolikelihood = -309.75298  (not concave)
Iteration 1873: log pseudolikelihood = -309.75284  (not concave)
Iteration 1874: log pseudolikelihood = -309.75269  (not concave)
Iteration 1875: log pseudolikelihood = -309.75255  (not concave)
Iteration 1876: log pseudolikelihood =  -309.7524  (not concave)
Iteration 1877: log pseudolikelihood = -309.75225  (not concave)
Iteration 1878: log pseudolikelihood = -309.75211  (not concave)
Iteration 1879: log pseudolikelihood = -309.75196  (not concave)
Iteration 1880: log pseudolikelihood = -309.75182  (not concave)
Iteration 1881: log pseudolikelihood = -309.75167  (not concave)
Iteration 1882: log pseudolikelihood = -309.75153  (not concave)
Iteration 1883: log pseudolikelihood = -309.75138  (not concave)
Iteration 1884: log pseudolikelihood = -309.75124  (not concave)
Iteration 1885: log pseudolikelihood = -309.75109  (not concave)
Iteration 1886: log pseudolikelihood = -309.75095  (not concave)
Iteration 1887: log pseudolikelihood =  -309.7508  (not concave)
Iteration 1888: log pseudolikelihood = -309.75066  (not concave)
Iteration 1889: log pseudolikelihood = -309.75051  (not concave)
Iteration 1890: log pseudolikelihood = -309.75037  (not concave)
Iteration 1891: log pseudolikelihood = -309.75022  (not concave)
Iteration 1892: log pseudolikelihood = -309.75008  (not concave)
Iteration 1893: log pseudolikelihood = -309.74993  (not concave)
Iteration 1894: log pseudolikelihood = -309.74979  (not concave)
Iteration 1895: log pseudolikelihood = -309.74964  (not concave)
Iteration 1896: log pseudolikelihood =  -309.7495  (not concave)
Iteration 1897: log pseudolikelihood = -309.74935  (not concave)
Iteration 1898: log pseudolikelihood = -309.74921  (not concave)
Iteration 1899: log pseudolikelihood = -309.74906  (not concave)
Iteration 1900: log pseudolikelihood = -309.74892  (not concave)
Iteration 1901: log pseudolikelihood = -309.74877  (not concave)
Iteration 1902: log pseudolikelihood = -309.74863  (not concave)
Iteration 1903: log pseudolikelihood = -309.74848  (not concave)
Iteration 1904: log pseudolikelihood = -309.74834  (not concave)
Iteration 1905: log pseudolikelihood = -309.74819  (not concave)
Iteration 1906: log pseudolikelihood = -309.74805  (not concave)
Iteration 1907: log pseudolikelihood =  -309.7479  (not concave)
Iteration 1908: log pseudolikelihood = -309.74776  (not concave)
Iteration 1909: log pseudolikelihood = -309.74761  (not concave)
Iteration 1910: log pseudolikelihood = -309.74747  (not concave)
Iteration 1911: log pseudolikelihood = -309.74732  (not concave)
Iteration 1912: log pseudolikelihood = -309.74718  (not concave)
Iteration 1913: log pseudolikelihood = -309.74704  (not concave)
Iteration 1914: log pseudolikelihood = -309.74689  (not concave)
Iteration 1915: log pseudolikelihood = -309.74675  (not concave)
Iteration 1916: log pseudolikelihood =  -309.7466  (not concave)
Iteration 1917: log pseudolikelihood = -309.74646  (not concave)
Iteration 1918: log pseudolikelihood = -309.74631  (not concave)
Iteration 1919: log pseudolikelihood = -309.74617  (not concave)
Iteration 1920: log pseudolikelihood = -309.74602  (not concave)
Iteration 1921: log pseudolikelihood = -309.74588  (not concave)
Iteration 1922: log pseudolikelihood = -309.74573  (not concave)
Iteration 1923: log pseudolikelihood = -309.74559  (not concave)
Iteration 1924: log pseudolikelihood = -309.74544  (not concave)
Iteration 1925: log pseudolikelihood =  -309.7453  (not concave)
Iteration 1926: log pseudolikelihood = -309.74515  (not concave)
Iteration 1927: log pseudolikelihood = -309.74501  (not concave)
Iteration 1928: log pseudolikelihood = -309.74486  (not concave)
Iteration 1929: log pseudolikelihood = -309.74472  (not concave)
Iteration 1930: log pseudolikelihood = -309.74458  (not concave)
Iteration 1931: log pseudolikelihood = -309.74443  (not concave)
Iteration 1932: log pseudolikelihood = -309.74429  (not concave)
Iteration 1933: log pseudolikelihood = -309.74414  (not concave)
Iteration 1934: log pseudolikelihood =   -309.744  (not concave)
Iteration 1935: log pseudolikelihood = -309.74385  (not concave)
Iteration 1936: log pseudolikelihood = -309.74371  (not concave)
Iteration 1937: log pseudolikelihood = -309.74356  (not concave)
Iteration 1938: log pseudolikelihood = -309.74342  (not concave)
Iteration 1939: log pseudolikelihood = -309.74327  (not concave)
Iteration 1940: log pseudolikelihood = -309.74313  (not concave)
Iteration 1941: log pseudolikelihood = -309.74299  (not concave)
Iteration 1942: log pseudolikelihood = -309.74284  (not concave)
Iteration 1943: log pseudolikelihood =  -309.7427  (not concave)
Iteration 1944: log pseudolikelihood = -309.74255  (not concave)
Iteration 1945: log pseudolikelihood = -309.74241  (not concave)
Iteration 1946: log pseudolikelihood = -309.74226  (not concave)
Iteration 1947: log pseudolikelihood = -309.74212  (not concave)
Iteration 1948: log pseudolikelihood = -309.74197  (not concave)
Iteration 1949: log pseudolikelihood = -309.74183  (not concave)
Iteration 1950: log pseudolikelihood = -309.74169  (not concave)
Iteration 1951: log pseudolikelihood = -309.74154  (not concave)
Iteration 1952: log pseudolikelihood =  -309.7414  (not concave)
Iteration 1953: log pseudolikelihood = -309.74125  (not concave)
Iteration 1954: log pseudolikelihood = -309.74111  (not concave)
Iteration 1955: log pseudolikelihood = -309.74096  (not concave)
Iteration 1956: log pseudolikelihood = -309.74082  (not concave)
Iteration 1957: log pseudolikelihood = -309.74068  (not concave)
Iteration 1958: log pseudolikelihood = -309.74053  (not concave)
Iteration 1959: log pseudolikelihood = -309.74039  (not concave)
Iteration 1960: log pseudolikelihood = -309.74024  (not concave)
Iteration 1961: log pseudolikelihood =  -309.7401  (not concave)
Iteration 1962: log pseudolikelihood = -309.73995  (not concave)
Iteration 1963: log pseudolikelihood = -309.73981  (not concave)
Iteration 1964: log pseudolikelihood = -309.73967  (not concave)
Iteration 1965: log pseudolikelihood = -309.73952  (not concave)
Iteration 1966: log pseudolikelihood = -309.73938  (not concave)
Iteration 1967: log pseudolikelihood = -309.73923  (not concave)
Iteration 1968: log pseudolikelihood = -309.73909  (not concave)
Iteration 1969: log pseudolikelihood = -309.73894  (not concave)
Iteration 1970: log pseudolikelihood =  -309.7388  (not concave)
Iteration 1971: log pseudolikelihood = -309.73866  (not concave)
Iteration 1972: log pseudolikelihood = -309.73851  (not concave)
Iteration 1973: log pseudolikelihood = -309.73837  (not concave)
Iteration 1974: log pseudolikelihood = -309.73822  (not concave)
Iteration 1975: log pseudolikelihood = -309.73808  (not concave)
Iteration 1976: log pseudolikelihood = -309.73794  (not concave)
Iteration 1977: log pseudolikelihood = -309.73779  (not concave)
Iteration 1978: log pseudolikelihood = -309.73765  (not concave)
Iteration 1979: log pseudolikelihood =  -309.7375  (not concave)
Iteration 1980: log pseudolikelihood = -309.73736  (not concave)
Iteration 1981: log pseudolikelihood = -309.73722  (not concave)
Iteration 1982: log pseudolikelihood = -309.73707  (not concave)
Iteration 1983: log pseudolikelihood = -309.73693  (not concave)
Iteration 1984: log pseudolikelihood = -309.73678  (not concave)
Iteration 1985: log pseudolikelihood = -309.73664  (not concave)
Iteration 1986: log pseudolikelihood =  -309.7365  (not concave)
Iteration 1987: log pseudolikelihood = -309.73635  (not concave)
Iteration 1988: log pseudolikelihood = -309.73621  (not concave)
Iteration 1989: log pseudolikelihood = -309.73606  (not concave)
Iteration 1990: log pseudolikelihood = -309.73592  (not concave)
Iteration 1991: log pseudolikelihood = -309.73578  (not concave)
Iteration 1992: log pseudolikelihood = -309.73563  (not concave)
Iteration 1993: log pseudolikelihood = -309.73549  (not concave)
Iteration 1994: log pseudolikelihood = -309.73534  (not concave)
Iteration 1995: log pseudolikelihood =  -309.7352  (not concave)
Iteration 1996: log pseudolikelihood = -309.73506  (not concave)
Iteration 1997: log pseudolikelihood = -309.73491  (not concave)
Iteration 1998: log pseudolikelihood = -309.73477  (not concave)
Iteration 1999: log pseudolikelihood = -309.73463  (not concave)
Iteration 2000: log pseudolikelihood = -309.73448  (not concave)
Iteration 2001: log pseudolikelihood = -309.73434  (not concave)
Iteration 2002: log pseudolikelihood = -309.73419  (not concave)
Iteration 2003: log pseudolikelihood = -309.73405  (not concave)
Iteration 2004: log pseudolikelihood = -309.73391  (not concave)
Iteration 2005: log pseudolikelihood = -309.73376  (not concave)
Iteration 2006: log pseudolikelihood = -309.73362  (not concave)
Iteration 2007: log pseudolikelihood = -309.73348  (not concave)
Iteration 2008: log pseudolikelihood = -309.73333  (not concave)
Iteration 2009: log pseudolikelihood = -309.73319  (not concave)
Iteration 2010: log pseudolikelihood = -309.73304  (not concave)
Iteration 2011: log pseudolikelihood =  -309.7329  (not concave)
Iteration 2012: log pseudolikelihood = -309.73276  (not concave)
Iteration 2013: log pseudolikelihood = -309.73261  (not concave)
Iteration 2014: log pseudolikelihood = -309.73247  (not concave)
Iteration 2015: log pseudolikelihood = -309.73233  (not concave)
Iteration 2016: log pseudolikelihood = -309.73218  (not concave)
Iteration 2017: log pseudolikelihood = -309.73204  (not concave)
Iteration 2018: log pseudolikelihood = -309.73189  (not concave)
Iteration 2019: log pseudolikelihood = -309.73175  (not concave)
Iteration 2020: log pseudolikelihood = -309.73161  (not concave)
Iteration 2021: log pseudolikelihood = -309.73146  (not concave)
Iteration 2022: log pseudolikelihood = -309.73132  (not concave)
Iteration 2023: log pseudolikelihood = -309.73118  (not concave)
Iteration 2024: log pseudolikelihood = -309.73103  (not concave)
Iteration 2025: log pseudolikelihood = -309.73089  (not concave)
Iteration 2026: log pseudolikelihood = -309.73075  (not concave)
Iteration 2027: log pseudolikelihood =  -309.7306  (not concave)
Iteration 2028: log pseudolikelihood = -309.73046  (not concave)
Iteration 2029: log pseudolikelihood = -309.73032  (not concave)
Iteration 2030: log pseudolikelihood = -309.73017  (not concave)
Iteration 2031: log pseudolikelihood = -309.73003  (not concave)
Iteration 2032: log pseudolikelihood = -309.72989  (not concave)
Iteration 2033: log pseudolikelihood = -309.72974  (not concave)
Iteration 2034: log pseudolikelihood =  -309.7296  (not concave)
Iteration 2035: log pseudolikelihood = -309.72946  (not concave)
Iteration 2036: log pseudolikelihood = -309.72931  (not concave)
Iteration 2037: log pseudolikelihood = -309.72917  (not concave)
Iteration 2038: log pseudolikelihood = -309.72902  (not concave)
Iteration 2039: log pseudolikelihood = -309.72888  (not concave)
Iteration 2040: log pseudolikelihood = -309.72874  (not concave)
Iteration 2041: log pseudolikelihood = -309.72859  (not concave)
Iteration 2042: log pseudolikelihood = -309.72845  (not concave)
Iteration 2043: log pseudolikelihood = -309.72831  (not concave)
Iteration 2044: log pseudolikelihood = -309.72816  (not concave)
Iteration 2045: log pseudolikelihood = -309.72802  (not concave)
Iteration 2046: log pseudolikelihood = -309.72788  (not concave)
Iteration 2047: log pseudolikelihood = -309.72773  (not concave)
Iteration 2048: log pseudolikelihood = -309.72759  (not concave)
Iteration 2049: log pseudolikelihood = -309.72745  (not concave)
Iteration 2050: log pseudolikelihood = -309.72731  (not concave)
Iteration 2051: log pseudolikelihood = -309.72716  (not concave)
Iteration 2052: log pseudolikelihood = -309.72702  (not concave)
Iteration 2053: log pseudolikelihood = -309.72688  (not concave)
Iteration 2054: log pseudolikelihood = -309.72673  (not concave)
Iteration 2055: log pseudolikelihood = -309.72659  (not concave)
Iteration 2056: log pseudolikelihood = -309.72645  (not concave)
Iteration 2057: log pseudolikelihood =  -309.7263  (not concave)
Iteration 2058: log pseudolikelihood = -309.72616  (not concave)
Iteration 2059: log pseudolikelihood = -309.72602  (not concave)
Iteration 2060: log pseudolikelihood = -309.72587  (not concave)
Iteration 2061: log pseudolikelihood = -309.72573  (not concave)
Iteration 2062: log pseudolikelihood = -309.72559  (not concave)
Iteration 2063: log pseudolikelihood = -309.72544  (not concave)
Iteration 2064: log pseudolikelihood =  -309.7253  (not concave)
Iteration 2065: log pseudolikelihood = -309.72516  (not concave)
Iteration 2066: log pseudolikelihood = -309.72501  (not concave)
Iteration 2067: log pseudolikelihood = -309.72487  (not concave)
Iteration 2068: log pseudolikelihood = -309.72473  (not concave)
Iteration 2069: log pseudolikelihood = -309.72459  (not concave)
Iteration 2070: log pseudolikelihood = -309.72444  (not concave)
Iteration 2071: log pseudolikelihood =  -309.7243  (not concave)
Iteration 2072: log pseudolikelihood = -309.72416  (not concave)
Iteration 2073: log pseudolikelihood = -309.72401  (not concave)
Iteration 2074: log pseudolikelihood = -309.72387  (not concave)
Iteration 2075: log pseudolikelihood = -309.72373  (not concave)
Iteration 2076: log pseudolikelihood = -309.72358  (not concave)
Iteration 2077: log pseudolikelihood = -309.72344  (not concave)
Iteration 2078: log pseudolikelihood =  -309.7233  (not concave)
Iteration 2079: log pseudolikelihood = -309.72316  (not concave)
Iteration 2080: log pseudolikelihood = -309.72301  (not concave)
Iteration 2081: log pseudolikelihood = -309.72287  (not concave)
Iteration 2082: log pseudolikelihood = -309.72273  (not concave)
Iteration 2083: log pseudolikelihood = -309.72258  (not concave)
Iteration 2084: log pseudolikelihood = -309.72244  (not concave)
Iteration 2085: log pseudolikelihood =  -309.7223  (not concave)
Iteration 2086: log pseudolikelihood = -309.72216  (not concave)
Iteration 2087: log pseudolikelihood = -309.72201  (not concave)
Iteration 2088: log pseudolikelihood = -309.72187  (not concave)
Iteration 2089: log pseudolikelihood = -309.72173  (not concave)
Iteration 2090: log pseudolikelihood = -309.72158  (not concave)
Iteration 2091: log pseudolikelihood = -309.72144  (not concave)
Iteration 2092: log pseudolikelihood =  -309.7213  (not concave)
Iteration 2093: log pseudolikelihood = -309.72116  (not concave)
Iteration 2094: log pseudolikelihood = -309.72101  (not concave)
Iteration 2095: log pseudolikelihood = -309.72087  (not concave)
Iteration 2096: log pseudolikelihood = -309.72073  (not concave)
Iteration 2097: log pseudolikelihood = -309.72058  (not concave)
Iteration 2098: log pseudolikelihood = -309.72044  (not concave)
Iteration 2099: log pseudolikelihood =  -309.7203  (not concave)
Iteration 2100: log pseudolikelihood = -309.72016  (not concave)
Iteration 2101: log pseudolikelihood = -309.72001  (not concave)
Iteration 2102: log pseudolikelihood = -309.71987  (not concave)
Iteration 2103: log pseudolikelihood = -309.71973  (not concave)
Iteration 2104: log pseudolikelihood = -309.71959  (not concave)
Iteration 2105: log pseudolikelihood = -309.71944  (not concave)
Iteration 2106: log pseudolikelihood =  -309.7193  (not concave)
Iteration 2107: log pseudolikelihood = -309.71916  (not concave)
Iteration 2108: log pseudolikelihood = -309.71902  (not concave)
Iteration 2109: log pseudolikelihood = -309.71887  (not concave)
Iteration 2110: log pseudolikelihood = -309.71873  (not concave)
Iteration 2111: log pseudolikelihood = -309.71859  (not concave)
Iteration 2112: log pseudolikelihood = -309.71845  (not concave)
Iteration 2113: log pseudolikelihood =  -309.7183  (not concave)
Iteration 2114: log pseudolikelihood = -309.71816  (not concave)
Iteration 2115: log pseudolikelihood = -309.71802  (not concave)
Iteration 2116: log pseudolikelihood = -309.71788  (not concave)
Iteration 2117: log pseudolikelihood = -309.71773  (not concave)
Iteration 2118: log pseudolikelihood = -309.71759  (not concave)
Iteration 2119: log pseudolikelihood = -309.71745  (not concave)
Iteration 2120: log pseudolikelihood = -309.71731  (not concave)
Iteration 2121: log pseudolikelihood = -309.71716  (not concave)
Iteration 2122: log pseudolikelihood = -309.71702  (not concave)
Iteration 2123: log pseudolikelihood = -309.71688  (not concave)
Iteration 2124: log pseudolikelihood = -309.71674  (not concave)
Iteration 2125: log pseudolikelihood = -309.71659  (not concave)
Iteration 2126: log pseudolikelihood = -309.71645  (not concave)
Iteration 2127: log pseudolikelihood = -309.71631  (not concave)
Iteration 2128: log pseudolikelihood = -309.71617  (not concave)
Iteration 2129: log pseudolikelihood = -309.71602  (not concave)
Iteration 2130: log pseudolikelihood = -309.71588  (not concave)
Iteration 2131: log pseudolikelihood = -309.71574  (not concave)
Iteration 2132: log pseudolikelihood =  -309.7156  (not concave)
Iteration 2133: log pseudolikelihood = -309.71545  (not concave)
Iteration 2134: log pseudolikelihood = -309.71531  (not concave)
Iteration 2135: log pseudolikelihood = -309.71517  (not concave)
Iteration 2136: log pseudolikelihood = -309.71503  (not concave)
Iteration 2137: log pseudolikelihood = -309.71488  (not concave)
Iteration 2138: log pseudolikelihood = -309.71474  (not concave)
Iteration 2139: log pseudolikelihood =  -309.7146  (not concave)
Iteration 2140: log pseudolikelihood = -309.71446  (not concave)
Iteration 2141: log pseudolikelihood = -309.71432  (not concave)
Iteration 2142: log pseudolikelihood = -309.71417  (not concave)
Iteration 2143: log pseudolikelihood = -309.71403  (not concave)
Iteration 2144: log pseudolikelihood = -309.71389  (not concave)
Iteration 2145: log pseudolikelihood = -309.71375  (not concave)
Iteration 2146: log pseudolikelihood =  -309.7136  (not concave)
Iteration 2147: log pseudolikelihood = -309.71346  (not concave)
Iteration 2148: log pseudolikelihood = -309.71332  (not concave)
Iteration 2149: log pseudolikelihood = -309.71318  (not concave)
Iteration 2150: log pseudolikelihood = -309.71304  (not concave)
Iteration 2151: log pseudolikelihood = -309.71289  (not concave)
Iteration 2152: log pseudolikelihood = -309.71275  (not concave)
Iteration 2153: log pseudolikelihood = -309.71261  (not concave)
Iteration 2154: log pseudolikelihood = -309.71247  (not concave)
Iteration 2155: log pseudolikelihood = -309.71233  (not concave)
Iteration 2156: log pseudolikelihood = -309.71218  (not concave)
Iteration 2157: log pseudolikelihood = -309.71204  (not concave)
Iteration 2158: log pseudolikelihood =  -309.7119  (not concave)
Iteration 2159: log pseudolikelihood = -309.71176  (not concave)
Iteration 2160: log pseudolikelihood = -309.71162  (not concave)
Iteration 2161: log pseudolikelihood = -309.71147  (not concave)
Iteration 2162: log pseudolikelihood = -309.71133  (not concave)
Iteration 2163: log pseudolikelihood = -309.71119  (not concave)
Iteration 2164: log pseudolikelihood = -309.71105  (not concave)
Iteration 2165: log pseudolikelihood = -309.71091  (not concave)
Iteration 2166: log pseudolikelihood = -309.71076  (not concave)
Iteration 2167: log pseudolikelihood = -309.71062  (not concave)
Iteration 2168: log pseudolikelihood = -309.71048  (not concave)
Iteration 2169: log pseudolikelihood = -309.71034  (not concave)
Iteration 2170: log pseudolikelihood =  -309.7102  (not concave)
Iteration 2171: log pseudolikelihood = -309.71005  (not concave)
Iteration 2172: log pseudolikelihood = -309.70991  (not concave)
Iteration 2173: log pseudolikelihood = -309.70977  (not concave)
Iteration 2174: log pseudolikelihood = -309.70963  (not concave)
Iteration 2175: log pseudolikelihood = -309.70949  (not concave)
Iteration 2176: log pseudolikelihood = -309.70934  (not concave)
Iteration 2177: log pseudolikelihood =  -309.7092  (not concave)
Iteration 2178: log pseudolikelihood = -309.70906  (not concave)
Iteration 2179: log pseudolikelihood = -309.70892  (not concave)
Iteration 2180: log pseudolikelihood = -309.70878  (not concave)
Iteration 2181: log pseudolikelihood = -309.70864  (not concave)
Iteration 2182: log pseudolikelihood = -309.70849  (not concave)
Iteration 2183: log pseudolikelihood = -309.70835  (not concave)
Iteration 2184: log pseudolikelihood = -309.70821  (not concave)
Iteration 2185: log pseudolikelihood = -309.70807  (not concave)
Iteration 2186: log pseudolikelihood = -309.70793  (not concave)
Iteration 2187: log pseudolikelihood = -309.70778  (not concave)
Iteration 2188: log pseudolikelihood = -309.70764  (not concave)
Iteration 2189: log pseudolikelihood =  -309.7075  (not concave)
Iteration 2190: log pseudolikelihood = -309.70736  (not concave)
Iteration 2191: log pseudolikelihood = -309.70722  (not concave)
Iteration 2192: log pseudolikelihood = -309.70708  (not concave)
Iteration 2193: log pseudolikelihood = -309.70693  (not concave)
Iteration 2194: log pseudolikelihood = -309.70679  (not concave)
Iteration 2195: log pseudolikelihood = -309.70665  (not concave)
Iteration 2196: log pseudolikelihood = -309.70651  (not concave)
Iteration 2197: log pseudolikelihood = -309.70637  (not concave)
Iteration 2198: log pseudolikelihood = -309.70623  (not concave)
Iteration 2199: log pseudolikelihood = -309.70609  (not concave)
Iteration 2200: log pseudolikelihood = -309.70594  (not concave)
Iteration 2201: log pseudolikelihood =  -309.7058  (not concave)
Iteration 2202: log pseudolikelihood = -309.70566  (not concave)
Iteration 2203: log pseudolikelihood = -309.70552  (not concave)
Iteration 2204: log pseudolikelihood = -309.70538  (not concave)
Iteration 2205: log pseudolikelihood = -309.70524  (not concave)
Iteration 2206: log pseudolikelihood = -309.70509  (not concave)
Iteration 2207: log pseudolikelihood = -309.70495  (not concave)
Iteration 2208: log pseudolikelihood = -309.70481  (not concave)
Iteration 2209: log pseudolikelihood = -309.70467  (not concave)
Iteration 2210: log pseudolikelihood = -309.70453  (not concave)
Iteration 2211: log pseudolikelihood = -309.70439  (not concave)
Iteration 2212: log pseudolikelihood = -309.70425  (not concave)
Iteration 2213: log pseudolikelihood =  -309.7041  (not concave)
Iteration 2214: log pseudolikelihood = -309.70396  (not concave)
Iteration 2215: log pseudolikelihood = -309.70382  (not concave)
Iteration 2216: log pseudolikelihood = -309.70368  (not concave)
Iteration 2217: log pseudolikelihood = -309.70354  (not concave)
Iteration 2218: log pseudolikelihood =  -309.7034  (not concave)
Iteration 2219: log pseudolikelihood = -309.70326  (not concave)
Iteration 2220: log pseudolikelihood = -309.70311  (not concave)
Iteration 2221: log pseudolikelihood = -309.70297  (not concave)
Iteration 2222: log pseudolikelihood = -309.70283  (not concave)
Iteration 2223: log pseudolikelihood = -309.70269  (not concave)
Iteration 2224: log pseudolikelihood = -309.70255  (not concave)
Iteration 2225: log pseudolikelihood = -309.70241  (not concave)
Iteration 2226: log pseudolikelihood = -309.70227  (not concave)
Iteration 2227: log pseudolikelihood = -309.70213  (not concave)
Iteration 2228: log pseudolikelihood = -309.70198  (not concave)
Iteration 2229: log pseudolikelihood = -309.70184  (not concave)
Iteration 2230: log pseudolikelihood =  -309.7017  (not concave)
Iteration 2231: log pseudolikelihood = -309.70156  (not concave)
Iteration 2232: log pseudolikelihood = -309.70142  (not concave)
Iteration 2233: log pseudolikelihood = -309.70128  (not concave)
Iteration 2234: log pseudolikelihood = -309.70114  (not concave)
Iteration 2235: log pseudolikelihood =   -309.701  (not concave)
Iteration 2236: log pseudolikelihood = -309.70085  (not concave)
Iteration 2237: log pseudolikelihood = -309.70071  (not concave)
Iteration 2238: log pseudolikelihood = -309.70057  (not concave)
Iteration 2239: log pseudolikelihood = -309.70043  (not concave)
Iteration 2240: log pseudolikelihood = -309.70029  (not concave)
Iteration 2241: log pseudolikelihood = -309.70015  (not concave)
Iteration 2242: log pseudolikelihood = -309.70001  (not concave)
Iteration 2243: log pseudolikelihood = -309.69987  (not concave)
Iteration 2244: log pseudolikelihood = -309.69973  (not concave)
Iteration 2245: log pseudolikelihood = -309.69958  (not concave)
Iteration 2246: log pseudolikelihood = -309.69944  (not concave)
Iteration 2247: log pseudolikelihood =  -309.6993  (not concave)
Iteration 2248: log pseudolikelihood = -309.69916  (not concave)
Iteration 2249: log pseudolikelihood = -309.69902  (not concave)
Iteration 2250: log pseudolikelihood = -309.69888  (not concave)
Iteration 2251: log pseudolikelihood = -309.69874  (not concave)
Iteration 2252: log pseudolikelihood =  -309.6986  (not concave)
Iteration 2253: log pseudolikelihood = -309.69846  (not concave)
Iteration 2254: log pseudolikelihood = -309.69832  (not concave)
Iteration 2255: log pseudolikelihood = -309.69818  (not concave)
Iteration 2256: log pseudolikelihood = -309.69803  (not concave)
Iteration 2257: log pseudolikelihood = -309.69789  (not concave)
Iteration 2258: log pseudolikelihood = -309.69775  (not concave)
Iteration 2259: log pseudolikelihood = -309.69761  (not concave)
Iteration 2260: log pseudolikelihood = -309.69747  (not concave)
Iteration 2261: log pseudolikelihood = -309.69733  (not concave)
Iteration 2262: log pseudolikelihood = -309.69719  (not concave)
Iteration 2263: log pseudolikelihood = -309.69705  (not concave)
Iteration 2264: log pseudolikelihood = -309.69691  (not concave)
Iteration 2265: log pseudolikelihood = -309.69677  (not concave)
Iteration 2266: log pseudolikelihood = -309.69663  (not concave)
Iteration 2267: log pseudolikelihood = -309.69648  (not concave)
Iteration 2268: log pseudolikelihood = -309.69634  (not concave)
Iteration 2269: log pseudolikelihood =  -309.6962  (not concave)
Iteration 2270: log pseudolikelihood = -309.69606  (not concave)
Iteration 2271: log pseudolikelihood = -309.69592  (not concave)
Iteration 2272: log pseudolikelihood = -309.69578  (not concave)
Iteration 2273: log pseudolikelihood = -309.69564  (not concave)
Iteration 2274: log pseudolikelihood =  -309.6955  (not concave)
Iteration 2275: log pseudolikelihood = -309.69536  (not concave)
Iteration 2276: log pseudolikelihood = -309.69522  (not concave)
Iteration 2277: log pseudolikelihood = -309.69508  (not concave)
Iteration 2278: log pseudolikelihood = -309.69494  (not concave)
Iteration 2279: log pseudolikelihood =  -309.6948  (not concave)
Iteration 2280: log pseudolikelihood = -309.69466  (not concave)
Iteration 2281: log pseudolikelihood = -309.69452  (not concave)
Iteration 2282: log pseudolikelihood = -309.69437  (not concave)
Iteration 2283: log pseudolikelihood = -309.69423  (not concave)
Iteration 2284: log pseudolikelihood = -309.69409  (not concave)
Iteration 2285: log pseudolikelihood = -309.69395  (not concave)
Iteration 2286: log pseudolikelihood = -309.69381  (not concave)
Iteration 2287: log pseudolikelihood = -309.69367  (not concave)
Iteration 2288: log pseudolikelihood = -309.69353  (not concave)
Iteration 2289: log pseudolikelihood = -309.69339  (not concave)
Iteration 2290: log pseudolikelihood = -309.69325  (not concave)
Iteration 2291: log pseudolikelihood = -309.69311  (not concave)
Iteration 2292: log pseudolikelihood = -309.69297  (not concave)
Iteration 2293: log pseudolikelihood = -309.69283  (not concave)
Iteration 2294: log pseudolikelihood = -309.69269  (not concave)
Iteration 2295: log pseudolikelihood = -309.69255  (not concave)
Iteration 2296: log pseudolikelihood = -309.69241  (not concave)
Iteration 2297: log pseudolikelihood = -309.69227  (not concave)
Iteration 2298: log pseudolikelihood = -309.69213  (not concave)
Iteration 2299: log pseudolikelihood = -309.69199  (not concave)
Iteration 2300: log pseudolikelihood = -309.69185  (not concave)
Iteration 2301: log pseudolikelihood = -309.69171  (not concave)
Iteration 2302: log pseudolikelihood = -309.69156  (not concave)
Iteration 2303: log pseudolikelihood = -309.69142  (not concave)
Iteration 2304: log pseudolikelihood = -309.69128  (not concave)
Iteration 2305: log pseudolikelihood = -309.69114  (not concave)
Iteration 2306: log pseudolikelihood =   -309.691  (not concave)
Iteration 2307: log pseudolikelihood = -309.69086  (not concave)
Iteration 2308: log pseudolikelihood = -309.69072  (not concave)
Iteration 2309: log pseudolikelihood = -309.69058  (not concave)
Iteration 2310: log pseudolikelihood = -309.69044  (not concave)
Iteration 2311: log pseudolikelihood =  -309.6903  (not concave)
Iteration 2312: log pseudolikelihood = -309.69016  (not concave)
Iteration 2313: log pseudolikelihood = -309.69002  (not concave)
Iteration 2314: log pseudolikelihood = -309.68988  (not concave)
Iteration 2315: log pseudolikelihood = -309.68974  (not concave)
Iteration 2316: log pseudolikelihood =  -309.6896  (not concave)
Iteration 2317: log pseudolikelihood = -309.68946  (not concave)
Iteration 2318: log pseudolikelihood = -309.68932  (not concave)
Iteration 2319: log pseudolikelihood = -309.68918  (not concave)
Iteration 2320: log pseudolikelihood = -309.68904  (not concave)
Iteration 2321: log pseudolikelihood =  -309.6889  (not concave)
Iteration 2322: log pseudolikelihood = -309.68876  (not concave)
Iteration 2323: log pseudolikelihood = -309.68862  (not concave)
Iteration 2324: log pseudolikelihood = -309.68848  (not concave)
Iteration 2325: log pseudolikelihood = -309.68834  (not concave)
Iteration 2326: log pseudolikelihood =  -309.6882  (not concave)
Iteration 2327: log pseudolikelihood = -309.68806  (not concave)
Iteration 2328: log pseudolikelihood = -309.68792  (not concave)
Iteration 2329: log pseudolikelihood = -309.68778  (not concave)
Iteration 2330: log pseudolikelihood = -309.68764  (not concave)
Iteration 2331: log pseudolikelihood =  -309.6875  (not concave)
Iteration 2332: log pseudolikelihood = -309.68736  (not concave)
Iteration 2333: log pseudolikelihood = -309.68722  (not concave)
Iteration 2334: log pseudolikelihood = -309.68708  (not concave)
Iteration 2335: log pseudolikelihood = -309.68694  (not concave)
Iteration 2336: log pseudolikelihood =  -309.6868  (not concave)
Iteration 2337: log pseudolikelihood = -309.68666  (not concave)
Iteration 2338: log pseudolikelihood = -309.68652  (not concave)
Iteration 2339: log pseudolikelihood = -309.68638  (not concave)
Iteration 2340: log pseudolikelihood = -309.68624  (not concave)
Iteration 2341: log pseudolikelihood =  -309.6861  (not concave)
Iteration 2342: log pseudolikelihood = -309.68596  (not concave)
Iteration 2343: log pseudolikelihood = -309.68582  (not concave)
Iteration 2344: log pseudolikelihood = -309.68568  (not concave)
Iteration 2345: log pseudolikelihood = -309.68554  (not concave)
Iteration 2346: log pseudolikelihood =  -309.6854  (not concave)
Iteration 2347: log pseudolikelihood = -309.68526  (not concave)
Iteration 2348: log pseudolikelihood = -309.68512  (not concave)
Iteration 2349: log pseudolikelihood = -309.68498  (not concave)
Iteration 2350: log pseudolikelihood = -309.68484  (not concave)
Iteration 2351: log pseudolikelihood =  -309.6847  (not concave)
Iteration 2352: log pseudolikelihood = -309.68456  (not concave)
Iteration 2353: log pseudolikelihood = -309.68442  (not concave)
Iteration 2354: log pseudolikelihood = -309.68428  (not concave)
Iteration 2355: log pseudolikelihood = -309.68414  (not concave)
Iteration 2356: log pseudolikelihood =   -309.684  (not concave)
Iteration 2357: log pseudolikelihood = -309.68386  (not concave)
Iteration 2358: log pseudolikelihood = -309.68372  (not concave)
Iteration 2359: log pseudolikelihood = -309.68359  (not concave)
Iteration 2360: log pseudolikelihood = -309.68345  (not concave)
Iteration 2361: log pseudolikelihood = -309.68331  (not concave)
Iteration 2362: log pseudolikelihood = -309.68317  (not concave)
Iteration 2363: log pseudolikelihood = -309.68303  (not concave)
Iteration 2364: log pseudolikelihood = -309.68289  (not concave)
Iteration 2365: log pseudolikelihood = -309.68275  (not concave)
Iteration 2366: log pseudolikelihood = -309.68261  (not concave)
Iteration 2367: log pseudolikelihood = -309.68247  (not concave)
Iteration 2368: log pseudolikelihood = -309.68233  (not concave)
Iteration 2369: log pseudolikelihood = -309.68219  (not concave)
Iteration 2370: log pseudolikelihood = -309.68205  (not concave)
Iteration 2371: log pseudolikelihood = -309.68191  (not concave)
Iteration 2372: log pseudolikelihood = -309.68177  (not concave)
Iteration 2373: log pseudolikelihood = -309.68163  (not concave)
Iteration 2374: log pseudolikelihood = -309.68149  (not concave)
Iteration 2375: log pseudolikelihood = -309.68135  (not concave)
Iteration 2376: log pseudolikelihood = -309.68121  (not concave)
Iteration 2377: log pseudolikelihood = -309.68107  (not concave)
Iteration 2378: log pseudolikelihood = -309.68093  (not concave)
Iteration 2379: log pseudolikelihood =  -309.6808  (not concave)
Iteration 2380: log pseudolikelihood = -309.68066  (not concave)
Iteration 2381: log pseudolikelihood = -309.68052  (not concave)
Iteration 2382: log pseudolikelihood = -309.68038  (not concave)
Iteration 2383: log pseudolikelihood = -309.68024  (not concave)
Iteration 2384: log pseudolikelihood =  -309.6801  (not concave)
Iteration 2385: log pseudolikelihood = -309.67996  (not concave)
Iteration 2386: log pseudolikelihood = -309.67982  (not concave)
Iteration 2387: log pseudolikelihood = -309.67968  (not concave)
Iteration 2388: log pseudolikelihood = -309.67954  (not concave)
Iteration 2389: log pseudolikelihood =  -309.6794  (not concave)
Iteration 2390: log pseudolikelihood = -309.67926  (not concave)
Iteration 2391: log pseudolikelihood = -309.67912  (not concave)
Iteration 2392: log pseudolikelihood = -309.67898  (not concave)
Iteration 2393: log pseudolikelihood = -309.67885  (not concave)
Iteration 2394: log pseudolikelihood = -309.67871  (not concave)
Iteration 2395: log pseudolikelihood = -309.67857  (not concave)
Iteration 2396: log pseudolikelihood = -309.67843  (not concave)
Iteration 2397: log pseudolikelihood = -309.67829  (not concave)
Iteration 2398: log pseudolikelihood = -309.67815  (not concave)
Iteration 2399: log pseudolikelihood = -309.67801  (not concave)
Iteration 2400: log pseudolikelihood = -309.67787  (not concave)
Iteration 2401: log pseudolikelihood = -309.67773  (not concave)
Iteration 2402: log pseudolikelihood = -309.67759  (not concave)
Iteration 2403: log pseudolikelihood = -309.67745  (not concave)
Iteration 2404: log pseudolikelihood = -309.67732  (not concave)
Iteration 2405: log pseudolikelihood = -309.67718  (not concave)
Iteration 2406: log pseudolikelihood = -309.67704  (not concave)
Iteration 2407: log pseudolikelihood =  -309.6769  (not concave)
Iteration 2408: log pseudolikelihood = -309.67676  (not concave)
Iteration 2409: log pseudolikelihood = -309.67662  (not concave)
Iteration 2410: log pseudolikelihood = -309.67648  (not concave)
Iteration 2411: log pseudolikelihood = -309.67634  (not concave)
Iteration 2412: log pseudolikelihood =  -309.6762  (not concave)
Iteration 2413: log pseudolikelihood = -309.67607  (not concave)
Iteration 2414: log pseudolikelihood = -309.67593  (not concave)
Iteration 2415: log pseudolikelihood = -309.67579  (not concave)
Iteration 2416: log pseudolikelihood = -309.67565  (not concave)
Iteration 2417: log pseudolikelihood = -309.67551  (not concave)
Iteration 2418: log pseudolikelihood = -309.67537  (not concave)
Iteration 2419: log pseudolikelihood = -309.67523  (not concave)
Iteration 2420: log pseudolikelihood = -309.67509  (not concave)
Iteration 2421: log pseudolikelihood = -309.67495  (not concave)
Iteration 2422: log pseudolikelihood = -309.67482  (not concave)
Iteration 2423: log pseudolikelihood = -309.67468  (not concave)
Iteration 2424: log pseudolikelihood = -309.67454  (not concave)
Iteration 2425: log pseudolikelihood =  -309.6744  (not concave)
Iteration 2426: log pseudolikelihood = -309.67426  (not concave)
Iteration 2427: log pseudolikelihood = -309.67412  (not concave)
Iteration 2428: log pseudolikelihood = -309.67398  (not concave)
Iteration 2429: log pseudolikelihood = -309.67384  (not concave)
Iteration 2430: log pseudolikelihood = -309.67371  (not concave)
Iteration 2431: log pseudolikelihood = -309.67357  (not concave)
Iteration 2432: log pseudolikelihood = -309.67343  (not concave)
Iteration 2433: log pseudolikelihood = -309.67329  (not concave)
Iteration 2434: log pseudolikelihood = -309.67315  (not concave)
Iteration 2435: log pseudolikelihood = -309.67301  (not concave)
Iteration 2436: log pseudolikelihood = -309.67287  (not concave)
Iteration 2437: log pseudolikelihood = -309.67274  (not concave)
Iteration 2438: log pseudolikelihood =  -309.6726  (not concave)
Iteration 2439: log pseudolikelihood = -309.67246  (not concave)
Iteration 2440: log pseudolikelihood = -309.67232  (not concave)
Iteration 2441: log pseudolikelihood = -309.67218  (not concave)
Iteration 2442: log pseudolikelihood = -309.67204  (not concave)
Iteration 2443: log pseudolikelihood = -309.67191  (not concave)
Iteration 2444: log pseudolikelihood = -309.67177  (not concave)
Iteration 2445: log pseudolikelihood = -309.67163  (not concave)
Iteration 2446: log pseudolikelihood = -309.67149  (not concave)
Iteration 2447: log pseudolikelihood = -309.67135  (not concave)
Iteration 2448: log pseudolikelihood = -309.67121  (not concave)
Iteration 2449: log pseudolikelihood = -309.67107  (not concave)
Iteration 2450: log pseudolikelihood = -309.67094  (not concave)
Iteration 2451: log pseudolikelihood =  -309.6708  (not concave)
Iteration 2452: log pseudolikelihood = -309.67066  (not concave)
Iteration 2453: log pseudolikelihood = -309.67052  (not concave)
Iteration 2454: log pseudolikelihood = -309.67038  (not concave)
Iteration 2455: log pseudolikelihood = -309.67025  (not concave)
Iteration 2456: log pseudolikelihood = -309.67011  (not concave)
Iteration 2457: log pseudolikelihood = -309.66997  (not concave)
Iteration 2458: log pseudolikelihood = -309.66983  (not concave)
Iteration 2459: log pseudolikelihood = -309.66969  (not concave)
Iteration 2460: log pseudolikelihood = -309.66955  (not concave)
Iteration 2461: log pseudolikelihood = -309.66942  (not concave)
Iteration 2462: log pseudolikelihood = -309.66928  (not concave)
Iteration 2463: log pseudolikelihood = -309.66914  (not concave)
Iteration 2464: log pseudolikelihood =   -309.669  (not concave)
Iteration 2465: log pseudolikelihood = -309.66886  (not concave)
Iteration 2466: log pseudolikelihood = -309.66873  (not concave)
Iteration 2467: log pseudolikelihood = -309.66859  (not concave)
Iteration 2468: log pseudolikelihood = -309.66845  (not concave)
Iteration 2469: log pseudolikelihood = -309.66831  (not concave)
Iteration 2470: log pseudolikelihood = -309.66817  (not concave)
Iteration 2471: log pseudolikelihood = -309.66803  (not concave)
Iteration 2472: log pseudolikelihood =  -309.6679  (not concave)
Iteration 2473: log pseudolikelihood = -309.66776  (not concave)
Iteration 2474: log pseudolikelihood = -309.66762  (not concave)
Iteration 2475: log pseudolikelihood = -309.66748  (not concave)
Iteration 2476: log pseudolikelihood = -309.66734  (not concave)
Iteration 2477: log pseudolikelihood = -309.66721  (not concave)
Iteration 2478: log pseudolikelihood = -309.66707  (not concave)
Iteration 2479: log pseudolikelihood = -309.66693  (not concave)
Iteration 2480: log pseudolikelihood = -309.66679  (not concave)
Iteration 2481: log pseudolikelihood = -309.66666  (not concave)
Iteration 2482: log pseudolikelihood = -309.66652  (not concave)
Iteration 2483: log pseudolikelihood = -309.66638  (not concave)
Iteration 2484: log pseudolikelihood = -309.66624  (not concave)
Iteration 2485: log pseudolikelihood =  -309.6661  (not concave)
Iteration 2486: log pseudolikelihood = -309.66597  (not concave)
Iteration 2487: log pseudolikelihood = -309.66583  (not concave)
Iteration 2488: log pseudolikelihood = -309.66569  (not concave)
Iteration 2489: log pseudolikelihood = -309.66555  (not concave)
Iteration 2490: log pseudolikelihood = -309.66542  (not concave)
Iteration 2491: log pseudolikelihood = -309.66528  (not concave)
Iteration 2492: log pseudolikelihood = -309.66514  (not concave)
Iteration 2493: log pseudolikelihood =   -309.665  (not concave)
Iteration 2494: log pseudolikelihood = -309.66486  (not concave)
Iteration 2495: log pseudolikelihood = -309.66473  (not concave)
Iteration 2496: log pseudolikelihood = -309.66459  (not concave)
Iteration 2497: log pseudolikelihood = -309.66445  (not concave)
Iteration 2498: log pseudolikelihood = -309.66431  (not concave)
Iteration 2499: log pseudolikelihood = -309.66418  (not concave)
Iteration 2500: log pseudolikelihood = -309.66404  (not concave)
Iteration 2501: log pseudolikelihood =  -309.6639  (not concave)
Iteration 2502: log pseudolikelihood = -309.66376  (not concave)
Iteration 2503: log pseudolikelihood = -309.66363  (not concave)
Iteration 2504: log pseudolikelihood = -309.66349  (not concave)
Iteration 2505: log pseudolikelihood = -309.66335  (not concave)
Iteration 2506: log pseudolikelihood = -309.66321  (not concave)
Iteration 2507: log pseudolikelihood = -309.66308  (not concave)
Iteration 2508: log pseudolikelihood = -309.66294  (not concave)
Iteration 2509: log pseudolikelihood =  -309.6628  (not concave)
Iteration 2510: log pseudolikelihood = -309.66266  (not concave)
Iteration 2511: log pseudolikelihood = -309.66253  (not concave)
Iteration 2512: log pseudolikelihood = -309.66239  (not concave)
Iteration 2513: log pseudolikelihood = -309.66225  (not concave)
Iteration 2514: log pseudolikelihood = -309.66211  (not concave)
Iteration 2515: log pseudolikelihood = -309.66198  (not concave)
Iteration 2516: log pseudolikelihood = -309.66184  (not concave)
Iteration 2517: log pseudolikelihood =  -309.6617  (not concave)
Iteration 2518: log pseudolikelihood = -309.66157  (not concave)
Iteration 2519: log pseudolikelihood = -309.66143  (not concave)
Iteration 2520: log pseudolikelihood = -309.66129  (not concave)
Iteration 2521: log pseudolikelihood = -309.66115  (not concave)
Iteration 2522: log pseudolikelihood = -309.66102  (not concave)
Iteration 2523: log pseudolikelihood = -309.66088  (not concave)
Iteration 2524: log pseudolikelihood = -309.66074  (not concave)
Iteration 2525: log pseudolikelihood = -309.66061  (not concave)
Iteration 2526: log pseudolikelihood = -309.66047  (not concave)
Iteration 2527: log pseudolikelihood = -309.66033  (not concave)
Iteration 2528: log pseudolikelihood = -309.66019  (not concave)
Iteration 2529: log pseudolikelihood = -309.66006  (not concave)
Iteration 2530: log pseudolikelihood = -309.65992  (not concave)
Iteration 2531: log pseudolikelihood = -309.65978  (not concave)
Iteration 2532: log pseudolikelihood = -309.65965  (not concave)
Iteration 2533: log pseudolikelihood = -309.65951  (not concave)
Iteration 2534: log pseudolikelihood = -309.65937  (not concave)
Iteration 2535: log pseudolikelihood = -309.65923  (not concave)
Iteration 2536: log pseudolikelihood =  -309.6591  (not concave)
Iteration 2537: log pseudolikelihood = -309.65896  (not concave)
Iteration 2538: log pseudolikelihood = -309.65882  (not concave)
Iteration 2539: log pseudolikelihood = -309.65869  (not concave)
Iteration 2540: log pseudolikelihood = -309.65855  (not concave)
Iteration 2541: log pseudolikelihood = -309.65841  (not concave)
Iteration 2542: log pseudolikelihood = -309.65828  (not concave)
Iteration 2543: log pseudolikelihood = -309.65814  (not concave)
Iteration 2544: log pseudolikelihood =   -309.658  (not concave)
Iteration 2545: log pseudolikelihood = -309.65787  (not concave)
Iteration 2546: log pseudolikelihood = -309.65773  (not concave)
Iteration 2547: log pseudolikelihood = -309.65759  (not concave)
Iteration 2548: log pseudolikelihood = -309.65746  (not concave)
Iteration 2549: log pseudolikelihood = -309.65732  (not concave)
Iteration 2550: log pseudolikelihood = -309.65718  (not concave)
Iteration 2551: log pseudolikelihood = -309.65705  (not concave)
Iteration 2552: log pseudolikelihood = -309.65691  (not concave)
Iteration 2553: log pseudolikelihood = -309.65677  (not concave)
Iteration 2554: log pseudolikelihood = -309.65664  (not concave)
Iteration 2555: log pseudolikelihood =  -309.6565  (not concave)
Iteration 2556: log pseudolikelihood = -309.65636  (not concave)
Iteration 2557: log pseudolikelihood = -309.65623  (not concave)
Iteration 2558: log pseudolikelihood = -309.65609  (not concave)
Iteration 2559: log pseudolikelihood = -309.65595  (not concave)
Iteration 2560: log pseudolikelihood = -309.65582  (not concave)
Iteration 2561: log pseudolikelihood = -309.65568  (not concave)
Iteration 2562: log pseudolikelihood = -309.65554  (not concave)
Iteration 2563: log pseudolikelihood = -309.65541  (not concave)
Iteration 2564: log pseudolikelihood = -309.65527  
Iteration 2565: log pseudolikelihood = -309.58335  (backed up)
Iteration 2566: log pseudolikelihood = -309.33496  
Iteration 2567: log pseudolikelihood = -309.28451  
Iteration 2568: log pseudolikelihood = -309.24018  
Iteration 2569: log pseudolikelihood = -309.23963  
Iteration 2570: log pseudolikelihood = -309.23963  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      22.58
Log pseudolikelihood = -309.23963               Prob > chi2       =     0.0470

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   6.352393   5.497606     1.16   0.248    -4.422717     17.1275
     capcheither20 |   8.001626   6.106412     1.31   0.190    -3.966721    19.96997
   regchangeeither |   1.948742   1.845911     1.06   0.291    -1.669177    5.566661
      chTEAltorBmt |   2.077595   1.837714     1.13   0.258    -1.524258    5.679449
           alformA |   7.253053   5.509244     1.32   0.188    -3.544866    18.05097
             demdA |   1.467066   1.734839     0.85   0.398    -1.933156    4.867289
         asymmetry |  -.8904294   1.196744    -0.74   0.457    -3.236004    1.455145
          nomicoop |   -2.25956   1.196428    -1.89   0.059    -4.604516     .085395
            treaty |   .0112819   1.669841     0.01   0.995    -3.261547     3.28411
           milinst |   7.763067   4.650066     1.67   0.095    -1.350896    16.87703
              time |  -.0824776   .2898736    -0.28   0.776    -.6506193    .4856642
        timesquare |  -.0097444    .012048    -0.81   0.419    -.0333581    .0138693
          timecube |   .0001685   .0001602     1.05   0.293    -.0001455    .0004824
             _cons |  -7.236914    6.52459    -1.11   0.267    -20.02487    5.551047
-------------------+----------------------------------------------------------------
G                  |
    TerrThreatAvg3 |   .5340592   .1452149     3.68   0.000     .2494432    .8186752
num_dems_on_border |  -.3041312   .1174407    -2.59   0.010    -.5343107   -.0739517
       num_borders |   .1302489   .0501701     2.60   0.009     .0319173    .2285805
           coldwar |   .3409721   .2727177     1.25   0.211    -.1935447    .8754889
       Lenergy_pop |  -.1646596   .0759792    -2.17   0.030    -.3135761   -.0157432
           Oil_exp |   .4691299    .369122     1.27   0.204    -.2543359    1.192596
           maj_pow |   .1831763   .3992974     0.46   0.646    -.5994322    .9657848
         kgd_rival |   .2912822   .3837547     0.76   0.448    -.4608632    1.043428
             _cons |  -4.804921   .4035179   -11.91   0.000    -5.595801    -4.01404
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood =  -549.9757
rescale:       log pseudolikelihood = -338.88004
rescale eq:    log pseudolikelihood = -338.88004

initial:       log pseudolikelihood = -338.88004
rescale:       log pseudolikelihood = -338.88004
rescale eq:    log pseudolikelihood = -338.88004
Iteration 0:   log pseudolikelihood = -338.88004  
Iteration 1:   log pseudolikelihood = -321.32182  (not concave)
Iteration 2:   log pseudolikelihood =  -320.7274  (not concave)
Iteration 3:   log pseudolikelihood = -320.45291  (not concave)
Iteration 4:   log pseudolikelihood = -320.22221  (not concave)
Iteration 5:   log pseudolikelihood = -320.07007  (not concave)
Iteration 6:   log pseudolikelihood = -319.99195  (not concave)
Iteration 7:   log pseudolikelihood = -319.83502  (not concave)
Iteration 8:   log pseudolikelihood = -319.74197  (not concave)
Iteration 9:   log pseudolikelihood = -319.66607  (not concave)
Iteration 10:  log pseudolikelihood = -319.59383  (not concave)
Iteration 11:  log pseudolikelihood =   -319.522  (not concave)
Iteration 12:  log pseudolikelihood = -319.44951  (not concave)
Iteration 13:  log pseudolikelihood = -319.37697  (not concave)
Iteration 14:  log pseudolikelihood = -319.30475  (not concave)
Iteration 15:  log pseudolikelihood = -319.23185  (not concave)
Iteration 16:  log pseudolikelihood = -319.15836  (not concave)
Iteration 17:  log pseudolikelihood = -319.08409  (not concave)
Iteration 18:  log pseudolikelihood = -319.00928  (not concave)
Iteration 19:  log pseudolikelihood =  -318.9334  (not concave)
Iteration 20:  log pseudolikelihood = -318.85672  (not concave)
Iteration 21:  log pseudolikelihood = -318.77889  (not concave)
Iteration 22:  log pseudolikelihood = -318.70022  (not concave)
Iteration 23:  log pseudolikelihood = -318.62029  (not concave)
Iteration 24:  log pseudolikelihood = -318.53946  (not concave)
Iteration 25:  log pseudolikelihood = -318.45734  (not concave)
Iteration 26:  log pseudolikelihood = -318.37436  (not concave)
Iteration 27:  log pseudolikelihood = -318.29008  (not concave)
Iteration 28:  log pseudolikelihood = -318.20498  (not concave)
Iteration 29:  log pseudolikelihood = -318.11865  (not concave)
Iteration 30:  log pseudolikelihood =  -318.0316  (not concave)
Iteration 31:  log pseudolikelihood = -317.94341  (not concave)
Iteration 32:  log pseudolikelihood = -317.85463  (not concave)
Iteration 33:  log pseudolikelihood = -317.76485  (not concave)
Iteration 34:  log pseudolikelihood = -317.67465  (not concave)
Iteration 35:  log pseudolikelihood =  -317.5836  (not concave)
Iteration 36:  log pseudolikelihood = -317.49234  (not concave)
Iteration 37:  log pseudolikelihood = -317.40042  (not concave)
Iteration 38:  log pseudolikelihood =  -317.3085  (not concave)
Iteration 39:  log pseudolikelihood = -317.21612  (not concave)
Iteration 40:  log pseudolikelihood = -317.12397  (not concave)
Iteration 41:  log pseudolikelihood = -317.03157  (not concave)
Iteration 42:  log pseudolikelihood = -316.93961  (not concave)
Iteration 43:  log pseudolikelihood = -316.84762  (not concave)
Iteration 44:  log pseudolikelihood = -316.75628  
Iteration 45:  log pseudolikelihood = -313.60532  
Iteration 46:  log pseudolikelihood = -310.31847  (not concave)
Iteration 47:  log pseudolikelihood = -310.27374  (not concave)
Iteration 48:  log pseudolikelihood = -310.25322  (not concave)
Iteration 49:  log pseudolikelihood = -310.24257  (not concave)
Iteration 50:  log pseudolikelihood = -310.23856  (not concave)
Iteration 51:  log pseudolikelihood = -310.23529  (not concave)
Iteration 52:  log pseudolikelihood = -310.23222  (not concave)
Iteration 53:  log pseudolikelihood = -310.22945  (not concave)
Iteration 54:  log pseudolikelihood = -310.22671  (not concave)
Iteration 55:  log pseudolikelihood = -310.22406  (not concave)
Iteration 56:  log pseudolikelihood =  -310.2215  (not concave)
Iteration 57:  log pseudolikelihood =   -310.219  (not concave)
Iteration 58:  log pseudolikelihood = -310.21655  (not concave)
Iteration 59:  log pseudolikelihood = -310.21416  (not concave)
Iteration 60:  log pseudolikelihood = -310.21182  (not concave)
Iteration 61:  log pseudolikelihood = -310.20953  (not concave)
Iteration 62:  log pseudolikelihood = -310.20728  (not concave)
Iteration 63:  log pseudolikelihood = -310.20508  (not concave)
Iteration 64:  log pseudolikelihood = -310.20291  (not concave)
Iteration 65:  log pseudolikelihood = -310.20077  (not concave)
Iteration 66:  log pseudolikelihood = -310.19867  (not concave)
Iteration 67:  log pseudolikelihood =  -310.1966  (not concave)
Iteration 68:  log pseudolikelihood = -310.19456  (not concave)
Iteration 69:  log pseudolikelihood = -310.19254  (not concave)
Iteration 70:  log pseudolikelihood = -310.19055  (not concave)
Iteration 71:  log pseudolikelihood = -310.18859  (not concave)
Iteration 72:  log pseudolikelihood = -310.18665  (not concave)
Iteration 73:  log pseudolikelihood = -310.18473  (not concave)
Iteration 74:  log pseudolikelihood = -310.18284  (not concave)
Iteration 75:  log pseudolikelihood = -310.18096  (not concave)
Iteration 76:  log pseudolikelihood = -310.17911  (not concave)
Iteration 77:  log pseudolikelihood = -310.17727  (not concave)
Iteration 78:  log pseudolikelihood = -310.17545  (not concave)
Iteration 79:  log pseudolikelihood = -310.17365  (not concave)
Iteration 80:  log pseudolikelihood = -310.17186  (not concave)
Iteration 81:  log pseudolikelihood = -310.17009  (not concave)
Iteration 82:  log pseudolikelihood = -310.16834  (not concave)
Iteration 83:  log pseudolikelihood =  -310.1666  (not concave)
Iteration 84:  log pseudolikelihood = -310.16487  (not concave)
Iteration 85:  log pseudolikelihood = -310.16316  (not concave)
Iteration 86:  log pseudolikelihood = -310.16147  (not concave)
Iteration 87:  log pseudolikelihood = -310.15978  (not concave)
Iteration 88:  log pseudolikelihood = -310.15811  (not concave)
Iteration 89:  log pseudolikelihood = -310.15645  (not concave)
Iteration 90:  log pseudolikelihood =  -310.1548  (not concave)
Iteration 91:  log pseudolikelihood = -310.15317  (not concave)
Iteration 92:  log pseudolikelihood = -310.15155  (not concave)
Iteration 93:  log pseudolikelihood = -310.14993  (not concave)
Iteration 94:  log pseudolikelihood = -310.14833  (not concave)
Iteration 95:  log pseudolikelihood = -310.14674  (not concave)
Iteration 96:  log pseudolikelihood = -310.14516  (not concave)
Iteration 97:  log pseudolikelihood = -310.14359  (not concave)
Iteration 98:  log pseudolikelihood = -310.14203  (not concave)
Iteration 99:  log pseudolikelihood = -310.14048  (not concave)
Iteration 100: log pseudolikelihood = -310.13894  (not concave)
Iteration 101: log pseudolikelihood = -310.13741  (not concave)
Iteration 102: log pseudolikelihood = -310.13589  (not concave)
Iteration 103: log pseudolikelihood = -310.13438  (not concave)
Iteration 104: log pseudolikelihood = -310.13288  (not concave)
Iteration 105: log pseudolikelihood = -310.13138  (not concave)
Iteration 106: log pseudolikelihood =  -310.1299  (not concave)
Iteration 107: log pseudolikelihood = -310.12842  (not concave)
Iteration 108: log pseudolikelihood = -310.12695  (not concave)
Iteration 109: log pseudolikelihood = -310.12549  (not concave)
Iteration 110: log pseudolikelihood = -310.12404  (not concave)
Iteration 111: log pseudolikelihood =  -310.1226  (not concave)
Iteration 112: log pseudolikelihood = -310.12117  (not concave)
Iteration 113: log pseudolikelihood = -310.11974  (not concave)
Iteration 114: log pseudolikelihood = -310.11832  (not concave)
Iteration 115: log pseudolikelihood = -310.11691  (not concave)
Iteration 116: log pseudolikelihood =  -310.1155  (not concave)
Iteration 117: log pseudolikelihood =  -310.1141  (not concave)
Iteration 118: log pseudolikelihood = -310.11272  (not concave)
Iteration 119: log pseudolikelihood = -310.11133  (not concave)
Iteration 120: log pseudolikelihood = -310.10996  (not concave)
Iteration 121: log pseudolikelihood = -310.10859  (not concave)
Iteration 122: log pseudolikelihood = -310.10723  (not concave)
Iteration 123: log pseudolikelihood = -310.10587  (not concave)
Iteration 124: log pseudolikelihood = -310.10453  (not concave)
Iteration 125: log pseudolikelihood = -310.10319  (not concave)
Iteration 126: log pseudolikelihood = -310.10185  (not concave)
Iteration 127: log pseudolikelihood = -310.10052  (not concave)
Iteration 128: log pseudolikelihood =  -310.0992  (not concave)
Iteration 129: log pseudolikelihood = -310.09789  (not concave)
Iteration 130: log pseudolikelihood = -310.09658  (not concave)
Iteration 131: log pseudolikelihood = -310.09528  (not concave)
Iteration 132: log pseudolikelihood = -310.09398  (not concave)
Iteration 133: log pseudolikelihood = -310.09269  (not concave)
Iteration 134: log pseudolikelihood = -310.09141  (not concave)
Iteration 135: log pseudolikelihood = -310.09013  (not concave)
Iteration 136: log pseudolikelihood = -310.08886  (not concave)
Iteration 137: log pseudolikelihood =  -310.0876  (not concave)
Iteration 138: log pseudolikelihood = -310.08634  (not concave)
Iteration 139: log pseudolikelihood = -310.08508  (not concave)
Iteration 140: log pseudolikelihood = -310.08383  (not concave)
Iteration 141: log pseudolikelihood = -310.08259  (not concave)
Iteration 142: log pseudolikelihood = -310.08135  (not concave)
Iteration 143: log pseudolikelihood = -310.08012  (not concave)
Iteration 144: log pseudolikelihood =  -310.0789  (not concave)
Iteration 145: log pseudolikelihood = -310.07768  (not concave)
Iteration 146: log pseudolikelihood = -310.07646  (not concave)
Iteration 147: log pseudolikelihood = -310.07525  (not concave)
Iteration 148: log pseudolikelihood = -310.07405  (not concave)
Iteration 149: log pseudolikelihood = -310.07285  (not concave)
Iteration 150: log pseudolikelihood = -310.07165  (not concave)
Iteration 151: log pseudolikelihood = -310.07046  (not concave)
Iteration 152: log pseudolikelihood = -310.06928  (not concave)
Iteration 153: log pseudolikelihood =  -310.0681  (not concave)
Iteration 154: log pseudolikelihood = -310.06692  (not concave)
Iteration 155: log pseudolikelihood = -310.06575  (not concave)
Iteration 156: log pseudolikelihood = -310.06459  (not concave)
Iteration 157: log pseudolikelihood = -310.06343  (not concave)
Iteration 158: log pseudolikelihood = -310.06228  (not concave)
Iteration 159: log pseudolikelihood = -310.06113  (not concave)
Iteration 160: log pseudolikelihood = -310.05998  (not concave)
Iteration 161: log pseudolikelihood = -310.05884  (not concave)
Iteration 162: log pseudolikelihood =  -310.0577  (not concave)
Iteration 163: log pseudolikelihood = -310.05657  (not concave)
Iteration 164: log pseudolikelihood = -310.05544  (not concave)
Iteration 165: log pseudolikelihood = -310.05432  (not concave)
Iteration 166: log pseudolikelihood =  -310.0532  (not concave)
Iteration 167: log pseudolikelihood = -310.05209  (not concave)
Iteration 168: log pseudolikelihood = -310.05098  (not concave)
Iteration 169: log pseudolikelihood = -310.04988  (not concave)
Iteration 170: log pseudolikelihood = -310.04878  (not concave)
Iteration 171: log pseudolikelihood = -310.04768  (not concave)
Iteration 172: log pseudolikelihood = -310.04659  (not concave)
Iteration 173: log pseudolikelihood =  -310.0455  (not concave)
Iteration 174: log pseudolikelihood = -310.04441  (not concave)
Iteration 175: log pseudolikelihood = -310.04333  (not concave)
Iteration 176: log pseudolikelihood = -310.04226  (not concave)
Iteration 177: log pseudolikelihood = -310.04119  (not concave)
Iteration 178: log pseudolikelihood = -310.04012  (not concave)
Iteration 179: log pseudolikelihood = -310.03906  (not concave)
Iteration 180: log pseudolikelihood =   -310.038  (not concave)
Iteration 181: log pseudolikelihood = -310.03694  (not concave)
Iteration 182: log pseudolikelihood = -310.03589  (not concave)
Iteration 183: log pseudolikelihood = -310.03484  (not concave)
Iteration 184: log pseudolikelihood =  -310.0338  (not concave)
Iteration 185: log pseudolikelihood = -310.03276  (not concave)
Iteration 186: log pseudolikelihood = -310.03172  (not concave)
Iteration 187: log pseudolikelihood = -310.03069  (not concave)
Iteration 188: log pseudolikelihood = -310.02966  (not concave)
Iteration 189: log pseudolikelihood = -310.02863  (not concave)
Iteration 190: log pseudolikelihood = -310.02761  (not concave)
Iteration 191: log pseudolikelihood = -310.02659  (not concave)
Iteration 192: log pseudolikelihood = -310.02558  (not concave)
Iteration 193: log pseudolikelihood = -310.02457  (not concave)
Iteration 194: log pseudolikelihood = -310.02356  (not concave)
Iteration 195: log pseudolikelihood = -310.02256  (not concave)
Iteration 196: log pseudolikelihood = -310.02156  (not concave)
Iteration 197: log pseudolikelihood = -310.02056  (not concave)
Iteration 198: log pseudolikelihood = -310.01957  (not concave)
Iteration 199: log pseudolikelihood = -310.01858  (not concave)
Iteration 200: log pseudolikelihood = -310.01759  (not concave)
Iteration 201: log pseudolikelihood = -310.01661  (not concave)
Iteration 202: log pseudolikelihood = -310.01563  (not concave)
Iteration 203: log pseudolikelihood = -310.01465  (not concave)
Iteration 204: log pseudolikelihood = -310.01368  (not concave)
Iteration 205: log pseudolikelihood = -310.01271  (not concave)
Iteration 206: log pseudolikelihood = -310.01174  (not concave)
Iteration 207: log pseudolikelihood = -310.01078  (not concave)
Iteration 208: log pseudolikelihood = -310.00982  (not concave)
Iteration 209: log pseudolikelihood = -310.00886  (not concave)
Iteration 210: log pseudolikelihood = -310.00791  (not concave)
Iteration 211: log pseudolikelihood = -310.00696  (not concave)
Iteration 212: log pseudolikelihood = -310.00601  (not concave)
Iteration 213: log pseudolikelihood = -310.00507  (not concave)
Iteration 214: log pseudolikelihood = -310.00412  (not concave)
Iteration 215: log pseudolikelihood = -310.00319  (not concave)
Iteration 216: log pseudolikelihood = -310.00225  (not concave)
Iteration 217: log pseudolikelihood = -310.00132  (not concave)
Iteration 218: log pseudolikelihood = -310.00039  (not concave)
Iteration 219: log pseudolikelihood = -309.99946  (not concave)
Iteration 220: log pseudolikelihood = -309.99854  (not concave)
Iteration 221: log pseudolikelihood = -309.99762  (not concave)
Iteration 222: log pseudolikelihood =  -309.9967  (not concave)
Iteration 223: log pseudolikelihood = -309.99579  (not concave)
Iteration 224: log pseudolikelihood = -309.99488  (not concave)
Iteration 225: log pseudolikelihood = -309.99397  (not concave)
Iteration 226: log pseudolikelihood = -309.99306  (not concave)
Iteration 227: log pseudolikelihood = -309.99216  (not concave)
Iteration 228: log pseudolikelihood = -309.99126  (not concave)
Iteration 229: log pseudolikelihood = -309.99036  (not concave)
Iteration 230: log pseudolikelihood = -309.98947  (not concave)
Iteration 231: log pseudolikelihood = -309.98857  (not concave)
Iteration 232: log pseudolikelihood = -309.98768  (not concave)
Iteration 233: log pseudolikelihood =  -309.9868  (not concave)
Iteration 234: log pseudolikelihood = -309.98591  (not concave)
Iteration 235: log pseudolikelihood = -309.98503  (not concave)
Iteration 236: log pseudolikelihood = -309.98415  (not concave)
Iteration 237: log pseudolikelihood = -309.98328  (not concave)
Iteration 238: log pseudolikelihood =  -309.9824  (not concave)
Iteration 239: log pseudolikelihood = -309.98153  (not concave)
Iteration 240: log pseudolikelihood = -309.98067  (not concave)
Iteration 241: log pseudolikelihood =  -309.9798  (not concave)
Iteration 242: log pseudolikelihood = -309.97894  (not concave)
Iteration 243: log pseudolikelihood = -309.97808  (not concave)
Iteration 244: log pseudolikelihood = -309.97722  (not concave)
Iteration 245: log pseudolikelihood = -309.97636  (not concave)
Iteration 246: log pseudolikelihood = -309.97551  (not concave)
Iteration 247: log pseudolikelihood = -309.97466  (not concave)
Iteration 248: log pseudolikelihood = -309.97381  (not concave)
Iteration 249: log pseudolikelihood = -309.97297  (not concave)
Iteration 250: log pseudolikelihood = -309.97213  (not concave)
Iteration 251: log pseudolikelihood = -309.97128  (not concave)
Iteration 252: log pseudolikelihood = -309.97045  (not concave)
Iteration 253: log pseudolikelihood = -309.96961  (not concave)
Iteration 254: log pseudolikelihood = -309.96878  (not concave)
Iteration 255: log pseudolikelihood = -309.96795  (not concave)
Iteration 256: log pseudolikelihood = -309.96712  (not concave)
Iteration 257: log pseudolikelihood = -309.96629  (not concave)
Iteration 258: log pseudolikelihood = -309.96547  (not concave)
Iteration 259: log pseudolikelihood = -309.96465  (not concave)
Iteration 260: log pseudolikelihood = -309.96383  (not concave)
Iteration 261: log pseudolikelihood = -309.96301  (not concave)
Iteration 262: log pseudolikelihood =  -309.9622  (not concave)
Iteration 263: log pseudolikelihood = -309.96139  (not concave)
Iteration 264: log pseudolikelihood = -309.96058  (not concave)
Iteration 265: log pseudolikelihood = -309.95977  (not concave)
Iteration 266: log pseudolikelihood = -309.95896  (not concave)
Iteration 267: log pseudolikelihood = -309.95816  (not concave)
Iteration 268: log pseudolikelihood = -309.95736  (not concave)
Iteration 269: log pseudolikelihood = -309.95656  (not concave)
Iteration 270: log pseudolikelihood = -309.95576  (not concave)
Iteration 271: log pseudolikelihood = -309.95497  (not concave)
Iteration 272: log pseudolikelihood = -309.95418  (not concave)
Iteration 273: log pseudolikelihood = -309.95339  (not concave)
Iteration 274: log pseudolikelihood =  -309.9526  (not concave)
Iteration 275: log pseudolikelihood = -309.95181  (not concave)
Iteration 276: log pseudolikelihood = -309.95103  (not concave)
Iteration 277: log pseudolikelihood = -309.95025  (not concave)
Iteration 278: log pseudolikelihood = -309.94947  (not concave)
Iteration 279: log pseudolikelihood = -309.94869  (not concave)
Iteration 280: log pseudolikelihood = -309.94791  (not concave)
Iteration 281: log pseudolikelihood = -309.94714  (not concave)
Iteration 282: log pseudolikelihood = -309.94637  (not concave)
Iteration 283: log pseudolikelihood =  -309.9456  (not concave)
Iteration 284: log pseudolikelihood = -309.94483  (not concave)
Iteration 285: log pseudolikelihood = -309.94407  (not concave)
Iteration 286: log pseudolikelihood =  -309.9433  (not concave)
Iteration 287: log pseudolikelihood = -309.94254  (not concave)
Iteration 288: log pseudolikelihood = -309.94178  (not concave)
Iteration 289: log pseudolikelihood = -309.94103  (not concave)
Iteration 290: log pseudolikelihood = -309.94027  (not concave)
Iteration 291: log pseudolikelihood = -309.93952  (not concave)
Iteration 292: log pseudolikelihood = -309.93877  (not concave)
Iteration 293: log pseudolikelihood = -309.93802  (not concave)
Iteration 294: log pseudolikelihood = -309.93727  (not concave)
Iteration 295: log pseudolikelihood = -309.93652  (not concave)
Iteration 296: log pseudolikelihood = -309.93578  (not concave)
Iteration 297: log pseudolikelihood = -309.93504  (not concave)
Iteration 298: log pseudolikelihood =  -309.9343  (not concave)
Iteration 299: log pseudolikelihood = -309.93356  (not concave)
Iteration 300: log pseudolikelihood = -309.93282  (not concave)
Iteration 301: log pseudolikelihood = -309.93209  (not concave)
Iteration 302: log pseudolikelihood = -309.93136  (not concave)
Iteration 303: log pseudolikelihood = -309.93063  (not concave)
Iteration 304: log pseudolikelihood =  -309.9299  (not concave)
Iteration 305: log pseudolikelihood = -309.92917  (not concave)
Iteration 306: log pseudolikelihood = -309.92845  (not concave)
Iteration 307: log pseudolikelihood = -309.92772  (not concave)
Iteration 308: log pseudolikelihood =   -309.927  (not concave)
Iteration 309: log pseudolikelihood = -309.92628  (not concave)
Iteration 310: log pseudolikelihood = -309.92556  (not concave)
Iteration 311: log pseudolikelihood = -309.92485  (not concave)
Iteration 312: log pseudolikelihood = -309.92413  (not concave)
Iteration 313: log pseudolikelihood = -309.92342  (not concave)
Iteration 314: log pseudolikelihood = -309.92271  (not concave)
Iteration 315: log pseudolikelihood =   -309.922  (not concave)
Iteration 316: log pseudolikelihood = -309.92129  (not concave)
Iteration 317: log pseudolikelihood = -309.92059  (not concave)
Iteration 318: log pseudolikelihood = -309.91988  (not concave)
Iteration 319: log pseudolikelihood = -309.91918  (not concave)
Iteration 320: log pseudolikelihood = -309.91848  (not concave)
Iteration 321: log pseudolikelihood = -309.91778  (not concave)
Iteration 322: log pseudolikelihood = -309.91708  (not concave)
Iteration 323: log pseudolikelihood = -309.91639  (not concave)
Iteration 324: log pseudolikelihood =  -309.9157  (not concave)
Iteration 325: log pseudolikelihood =   -309.915  (not concave)
Iteration 326: log pseudolikelihood = -309.91431  (not concave)
Iteration 327: log pseudolikelihood = -309.91362  (not concave)
Iteration 328: log pseudolikelihood = -309.91294  (not concave)
Iteration 329: log pseudolikelihood = -309.91225  (not concave)
Iteration 330: log pseudolikelihood = -309.91157  (not concave)
Iteration 331: log pseudolikelihood = -309.91088  (not concave)
Iteration 332: log pseudolikelihood =  -309.9102  (not concave)
Iteration 333: log pseudolikelihood = -309.90952  (not concave)
Iteration 334: log pseudolikelihood = -309.90885  (not concave)
Iteration 335: log pseudolikelihood = -309.90817  (not concave)
Iteration 336: log pseudolikelihood =  -309.9075  (not concave)
Iteration 337: log pseudolikelihood = -309.90682  (not concave)
Iteration 338: log pseudolikelihood = -309.90615  (not concave)
Iteration 339: log pseudolikelihood = -309.90548  (not concave)
Iteration 340: log pseudolikelihood = -309.90481  (not concave)
Iteration 341: log pseudolikelihood = -309.90415  (not concave)
Iteration 342: log pseudolikelihood = -309.90348  (not concave)
Iteration 343: log pseudolikelihood = -309.90282  (not concave)
Iteration 344: log pseudolikelihood = -309.90216  (not concave)
Iteration 345: log pseudolikelihood =  -309.9015  (not concave)
Iteration 346: log pseudolikelihood = -309.90084  (not concave)
Iteration 347: log pseudolikelihood = -309.90018  (not concave)
Iteration 348: log pseudolikelihood = -309.89952  (not concave)
Iteration 349: log pseudolikelihood = -309.89887  (not concave)
Iteration 350: log pseudolikelihood = -309.89822  (not concave)
Iteration 351: log pseudolikelihood = -309.89756  (not concave)
Iteration 352: log pseudolikelihood = -309.89691  (not concave)
Iteration 353: log pseudolikelihood = -309.89626  (not concave)
Iteration 354: log pseudolikelihood = -309.89562  (not concave)
Iteration 355: log pseudolikelihood = -309.89497  (not concave)
Iteration 356: log pseudolikelihood = -309.89433  (not concave)
Iteration 357: log pseudolikelihood = -309.89368  (not concave)
Iteration 358: log pseudolikelihood = -309.89304  (not concave)
Iteration 359: log pseudolikelihood =  -309.8924  (not concave)
Iteration 360: log pseudolikelihood = -309.89176  (not concave)
Iteration 361: log pseudolikelihood = -309.89113  (not concave)
Iteration 362: log pseudolikelihood = -309.89049  (not concave)
Iteration 363: log pseudolikelihood = -309.88986  (not concave)
Iteration 364: log pseudolikelihood = -309.88922  (not concave)
Iteration 365: log pseudolikelihood = -309.88859  (not concave)
Iteration 366: log pseudolikelihood = -309.88796  (not concave)
Iteration 367: log pseudolikelihood = -309.88733  (not concave)
Iteration 368: log pseudolikelihood = -309.88671  (not concave)
Iteration 369: log pseudolikelihood = -309.88608  (not concave)
Iteration 370: log pseudolikelihood = -309.88545  (not concave)
Iteration 371: log pseudolikelihood = -309.88483  (not concave)
Iteration 372: log pseudolikelihood = -309.88421  (not concave)
Iteration 373: log pseudolikelihood = -309.88359  (not concave)
Iteration 374: log pseudolikelihood = -309.88297  (not concave)
Iteration 375: log pseudolikelihood = -309.88235  (not concave)
Iteration 376: log pseudolikelihood = -309.88173  (not concave)
Iteration 377: log pseudolikelihood = -309.88112  (not concave)
Iteration 378: log pseudolikelihood =  -309.8805  (not concave)
Iteration 379: log pseudolikelihood = -309.87989  (not concave)
Iteration 380: log pseudolikelihood = -309.87928  (not concave)
Iteration 381: log pseudolikelihood = -309.87867  (not concave)
Iteration 382: log pseudolikelihood = -309.87806  (not concave)
Iteration 383: log pseudolikelihood = -309.87745  (not concave)
Iteration 384: log pseudolikelihood = -309.87685  (not concave)
Iteration 385: log pseudolikelihood = -309.87624  (not concave)
Iteration 386: log pseudolikelihood = -309.87564  (not concave)
Iteration 387: log pseudolikelihood = -309.87504  (not concave)
Iteration 388: log pseudolikelihood = -309.87444  (not concave)
Iteration 389: log pseudolikelihood = -309.87383  (not concave)
Iteration 390: log pseudolikelihood = -309.87324  (not concave)
Iteration 391: log pseudolikelihood = -309.87264  (not concave)
Iteration 392: log pseudolikelihood = -309.87204  (not concave)
Iteration 393: log pseudolikelihood = -309.87145  (not concave)
Iteration 394: log pseudolikelihood = -309.87085  (not concave)
Iteration 395: log pseudolikelihood = -309.87026  (not concave)
Iteration 396: log pseudolikelihood = -309.86967  (not concave)
Iteration 397: log pseudolikelihood = -309.86908  (not concave)
Iteration 398: log pseudolikelihood = -309.86849  (not concave)
Iteration 399: log pseudolikelihood =  -309.8679  (not concave)
Iteration 400: log pseudolikelihood = -309.86732  (not concave)
Iteration 401: log pseudolikelihood = -309.86673  (not concave)
Iteration 402: log pseudolikelihood = -309.86615  (not concave)
Iteration 403: log pseudolikelihood = -309.86557  (not concave)
Iteration 404: log pseudolikelihood = -309.86498  (not concave)
Iteration 405: log pseudolikelihood =  -309.8644  (not concave)
Iteration 406: log pseudolikelihood = -309.86382  (not concave)
Iteration 407: log pseudolikelihood = -309.86325  (not concave)
Iteration 408: log pseudolikelihood = -309.86267  (not concave)
Iteration 409: log pseudolikelihood = -309.86209  (not concave)
Iteration 410: log pseudolikelihood = -309.86152  (not concave)
Iteration 411: log pseudolikelihood = -309.86095  (not concave)
Iteration 412: log pseudolikelihood = -309.86037  (not concave)
Iteration 413: log pseudolikelihood =  -309.8598  (not concave)
Iteration 414: log pseudolikelihood = -309.85923  (not concave)
Iteration 415: log pseudolikelihood = -309.85866  (not concave)
Iteration 416: log pseudolikelihood =  -309.8581  (not concave)
Iteration 417: log pseudolikelihood = -309.85753  (not concave)
Iteration 418: log pseudolikelihood = -309.85696  (not concave)
Iteration 419: log pseudolikelihood =  -309.8564  (not concave)
Iteration 420: log pseudolikelihood = -309.85584  (not concave)
Iteration 421: log pseudolikelihood = -309.85527  (not concave)
Iteration 422: log pseudolikelihood = -309.85471  (not concave)
Iteration 423: log pseudolikelihood = -309.85415  (not concave)
Iteration 424: log pseudolikelihood = -309.85359  (not concave)
Iteration 425: log pseudolikelihood = -309.85304  (not concave)
Iteration 426: log pseudolikelihood = -309.85248  (not concave)
Iteration 427: log pseudolikelihood = -309.85192  (not concave)
Iteration 428: log pseudolikelihood = -309.85137  (not concave)
Iteration 429: log pseudolikelihood = -309.85082  (not concave)
Iteration 430: log pseudolikelihood = -309.85026  (not concave)
Iteration 431: log pseudolikelihood = -309.84971  (not concave)
Iteration 432: log pseudolikelihood = -309.84916  (not concave)
Iteration 433: log pseudolikelihood = -309.84861  (not concave)
Iteration 434: log pseudolikelihood = -309.84807  (not concave)
Iteration 435: log pseudolikelihood = -309.84752  (not concave)
Iteration 436: log pseudolikelihood = -309.84697  (not concave)
Iteration 437: log pseudolikelihood = -309.84643  (not concave)
Iteration 438: log pseudolikelihood = -309.84588  (not concave)
Iteration 439: log pseudolikelihood = -309.84534  (not concave)
Iteration 440: log pseudolikelihood =  -309.8448  (not concave)
Iteration 441: log pseudolikelihood = -309.84426  (not concave)
Iteration 442: log pseudolikelihood = -309.84372  (not concave)
Iteration 443: log pseudolikelihood = -309.84318  (not concave)
Iteration 444: log pseudolikelihood = -309.84264  (not concave)
Iteration 445: log pseudolikelihood = -309.84211  (not concave)
Iteration 446: log pseudolikelihood = -309.84157  (not concave)
Iteration 447: log pseudolikelihood = -309.84104  (not concave)
Iteration 448: log pseudolikelihood =  -309.8405  (not concave)
Iteration 449: log pseudolikelihood = -309.83997  (not concave)
Iteration 450: log pseudolikelihood = -309.83944  (not concave)
Iteration 451: log pseudolikelihood = -309.83891  (not concave)
Iteration 452: log pseudolikelihood = -309.83838  (not concave)
Iteration 453: log pseudolikelihood = -309.83785  (not concave)
Iteration 454: log pseudolikelihood = -309.83732  (not concave)
Iteration 455: log pseudolikelihood =  -309.8368  (not concave)
Iteration 456: log pseudolikelihood = -309.83627  (not concave)
Iteration 457: log pseudolikelihood = -309.83575  (not concave)
Iteration 458: log pseudolikelihood = -309.83522  (not concave)
Iteration 459: log pseudolikelihood =  -309.8347  (not concave)
Iteration 460: log pseudolikelihood = -309.83418  (not concave)
Iteration 461: log pseudolikelihood = -309.83366  (not concave)
Iteration 462: log pseudolikelihood = -309.83314  (not concave)
Iteration 463: log pseudolikelihood = -309.83262  (not concave)
Iteration 464: log pseudolikelihood =  -309.8321  (not concave)
Iteration 465: log pseudolikelihood = -309.83159  (not concave)
Iteration 466: log pseudolikelihood = -309.83107  (not concave)
Iteration 467: log pseudolikelihood = -309.83056  (not concave)
Iteration 468: log pseudolikelihood = -309.83004  (not concave)
Iteration 469: log pseudolikelihood = -309.82953  (not concave)
Iteration 470: log pseudolikelihood = -309.82902  (not concave)
Iteration 471: log pseudolikelihood =  -309.8285  (not concave)
Iteration 472: log pseudolikelihood = -309.82799  (not concave)
Iteration 473: log pseudolikelihood = -309.82749  (not concave)
Iteration 474: log pseudolikelihood = -309.82698  (not concave)
Iteration 475: log pseudolikelihood = -309.82647  (not concave)
Iteration 476: log pseudolikelihood = -309.82596  (not concave)
Iteration 477: log pseudolikelihood = -309.82546  (not concave)
Iteration 478: log pseudolikelihood = -309.82495  (not concave)
Iteration 479: log pseudolikelihood = -309.82445  (not concave)
Iteration 480: log pseudolikelihood = -309.82395  (not concave)
Iteration 481: log pseudolikelihood = -309.82344  (not concave)
Iteration 482: log pseudolikelihood = -309.82294  (not concave)
Iteration 483: log pseudolikelihood = -309.82244  (not concave)
Iteration 484: log pseudolikelihood = -309.82194  (not concave)
Iteration 485: log pseudolikelihood = -309.82145  (not concave)
Iteration 486: log pseudolikelihood = -309.82095  (not concave)
Iteration 487: log pseudolikelihood = -309.82045  (not concave)
Iteration 488: log pseudolikelihood = -309.81996  (not concave)
Iteration 489: log pseudolikelihood = -309.81946  (not concave)
Iteration 490: log pseudolikelihood = -309.81897  (not concave)
Iteration 491: log pseudolikelihood = -309.81847  (not concave)
Iteration 492: log pseudolikelihood = -309.81798  (not concave)
Iteration 493: log pseudolikelihood = -309.81749  (not concave)
Iteration 494: log pseudolikelihood =   -309.817  (not concave)
Iteration 495: log pseudolikelihood = -309.81651  (not concave)
Iteration 496: log pseudolikelihood = -309.81602  (not concave)
Iteration 497: log pseudolikelihood = -309.81553  (not concave)
Iteration 498: log pseudolikelihood = -309.81505  (not concave)
Iteration 499: log pseudolikelihood = -309.81456  (not concave)
Iteration 500: log pseudolikelihood = -309.81407  (not concave)
Iteration 501: log pseudolikelihood = -309.81359  (not concave)
Iteration 502: log pseudolikelihood = -309.81311  (not concave)
Iteration 503: log pseudolikelihood = -309.81262  (not concave)
Iteration 504: log pseudolikelihood = -309.81214  (not concave)
Iteration 505: log pseudolikelihood = -309.81166  (not concave)
Iteration 506: log pseudolikelihood = -309.81118  (not concave)
Iteration 507: log pseudolikelihood =  -309.8107  (not concave)
Iteration 508: log pseudolikelihood = -309.81022  (not concave)
Iteration 509: log pseudolikelihood = -309.80974  (not concave)
Iteration 510: log pseudolikelihood = -309.80927  (not concave)
Iteration 511: log pseudolikelihood = -309.80879  (not concave)
Iteration 512: log pseudolikelihood = -309.80832  (not concave)
Iteration 513: log pseudolikelihood = -309.80784  (not concave)
Iteration 514: log pseudolikelihood = -309.80737  (not concave)
Iteration 515: log pseudolikelihood = -309.80689  (not concave)
Iteration 516: log pseudolikelihood = -309.80642  (not concave)
Iteration 517: log pseudolikelihood = -309.80595  (not concave)
Iteration 518: log pseudolikelihood = -309.80548  (not concave)
Iteration 519: log pseudolikelihood = -309.80501  (not concave)
Iteration 520: log pseudolikelihood = -309.80454  (not concave)
Iteration 521: log pseudolikelihood = -309.80407  (not concave)
Iteration 522: log pseudolikelihood = -309.80361  (not concave)
Iteration 523: log pseudolikelihood = -309.80314  (not concave)
Iteration 524: log pseudolikelihood = -309.80268  (not concave)
Iteration 525: log pseudolikelihood = -309.80221  (not concave)
Iteration 526: log pseudolikelihood = -309.80175  (not concave)
Iteration 527: log pseudolikelihood = -309.80128  (not concave)
Iteration 528: log pseudolikelihood = -309.80082  (not concave)
Iteration 529: log pseudolikelihood = -309.80036  (not concave)
Iteration 530: log pseudolikelihood =  -309.7999  (not concave)
Iteration 531: log pseudolikelihood = -309.79944  (not concave)
Iteration 532: log pseudolikelihood = -309.79898  (not concave)
Iteration 533: log pseudolikelihood = -309.79852  (not concave)
Iteration 534: log pseudolikelihood = -309.79806  (not concave)
Iteration 535: log pseudolikelihood =  -309.7976  (not concave)
Iteration 536: log pseudolikelihood = -309.79715  (not concave)
Iteration 537: log pseudolikelihood = -309.79669  (not concave)
Iteration 538: log pseudolikelihood = -309.79624  (not concave)
Iteration 539: log pseudolikelihood = -309.79578  (not concave)
Iteration 540: log pseudolikelihood = -309.79533  (not concave)
Iteration 541: log pseudolikelihood = -309.79488  (not concave)
Iteration 542: log pseudolikelihood = -309.79443  (not concave)
Iteration 543: log pseudolikelihood = -309.79397  (not concave)
Iteration 544: log pseudolikelihood = -309.79352  (not concave)
Iteration 545: log pseudolikelihood = -309.79307  (not concave)
Iteration 546: log pseudolikelihood = -309.79263  (not concave)
Iteration 547: log pseudolikelihood = -309.79218  (not concave)
Iteration 548: log pseudolikelihood = -309.79173  (not concave)
Iteration 549: log pseudolikelihood = -309.79128  (not concave)
Iteration 550: log pseudolikelihood = -309.79084  (not concave)
Iteration 551: log pseudolikelihood = -309.79039  (not concave)
Iteration 552: log pseudolikelihood = -309.78995  (not concave)
Iteration 553: log pseudolikelihood =  -309.7895  (not concave)
Iteration 554: log pseudolikelihood = -309.78906  (not concave)
Iteration 555: log pseudolikelihood = -309.78862  (not concave)
Iteration 556: log pseudolikelihood = -309.78818  (not concave)
Iteration 557: log pseudolikelihood = -309.78774  (not concave)
Iteration 558: log pseudolikelihood =  -309.7873  (not concave)
Iteration 559: log pseudolikelihood = -309.78686  (not concave)
Iteration 560: log pseudolikelihood = -309.78642  (not concave)
Iteration 561: log pseudolikelihood = -309.78598  (not concave)
Iteration 562: log pseudolikelihood = -309.78554  (not concave)
Iteration 563: log pseudolikelihood = -309.78511  (not concave)
Iteration 564: log pseudolikelihood = -309.78467  (not concave)
Iteration 565: log pseudolikelihood = -309.78424  (not concave)
Iteration 566: log pseudolikelihood =  -309.7838  (not concave)
Iteration 567: log pseudolikelihood = -309.78337  (not concave)
Iteration 568: log pseudolikelihood = -309.78293  (not concave)
Iteration 569: log pseudolikelihood =  -309.7825  (not concave)
Iteration 570: log pseudolikelihood = -309.78207  (not concave)
Iteration 571: log pseudolikelihood = -309.78164  (not concave)
Iteration 572: log pseudolikelihood = -309.78121  (not concave)
Iteration 573: log pseudolikelihood = -309.78078  (not concave)
Iteration 574: log pseudolikelihood = -309.78035  (not concave)
Iteration 575: log pseudolikelihood = -309.77992  (not concave)
Iteration 576: log pseudolikelihood = -309.77949  (not concave)
Iteration 577: log pseudolikelihood = -309.77907  (not concave)
Iteration 578: log pseudolikelihood = -309.77864  (not concave)
Iteration 579: log pseudolikelihood = -309.77822  (not concave)
Iteration 580: log pseudolikelihood = -309.77779  (not concave)
Iteration 581: log pseudolikelihood = -309.77737  (not concave)
Iteration 582: log pseudolikelihood = -309.77694  (not concave)
Iteration 583: log pseudolikelihood = -309.77652  (not concave)
Iteration 584: log pseudolikelihood =  -309.7761  (not concave)
Iteration 585: log pseudolikelihood = -309.77568  (not concave)
Iteration 586: log pseudolikelihood = -309.77526  (not concave)
Iteration 587: log pseudolikelihood = -309.77484  (not concave)
Iteration 588: log pseudolikelihood = -309.77442  (not concave)
Iteration 589: log pseudolikelihood =   -309.774  (not concave)
Iteration 590: log pseudolikelihood = -309.77358  (not concave)
Iteration 591: log pseudolikelihood = -309.77316  (not concave)
Iteration 592: log pseudolikelihood = -309.77274  (not concave)
Iteration 593: log pseudolikelihood = -309.77233  (not concave)
Iteration 594: log pseudolikelihood = -309.77191  (not concave)
Iteration 595: log pseudolikelihood =  -309.7715  (not concave)
Iteration 596: log pseudolikelihood = -309.77108  (not concave)
Iteration 597: log pseudolikelihood = -309.77067  (not concave)
Iteration 598: log pseudolikelihood = -309.77026  (not concave)
Iteration 599: log pseudolikelihood = -309.76984  (not concave)
Iteration 600: log pseudolikelihood = -309.76943  (not concave)
Iteration 601: log pseudolikelihood = -309.76902  (not concave)
Iteration 602: log pseudolikelihood = -309.76861  (not concave)
Iteration 603: log pseudolikelihood =  -309.7682  (not concave)
Iteration 604: log pseudolikelihood = -309.76779  (not concave)
Iteration 605: log pseudolikelihood = -309.76738  (not concave)
Iteration 606: log pseudolikelihood = -309.76698  (not concave)
Iteration 607: log pseudolikelihood = -309.76657  (not concave)
Iteration 608: log pseudolikelihood = -309.76616  (not concave)
Iteration 609: log pseudolikelihood = -309.76576  (not concave)
Iteration 610: log pseudolikelihood = -309.76535  (not concave)
Iteration 611: log pseudolikelihood = -309.76495  (not concave)
Iteration 612: log pseudolikelihood = -309.76454  (not concave)
Iteration 613: log pseudolikelihood = -309.76414  (not concave)
Iteration 614: log pseudolikelihood = -309.76373  (not concave)
Iteration 615: log pseudolikelihood = -309.76333  (not concave)
Iteration 616: log pseudolikelihood = -309.76293  (not concave)
Iteration 617: log pseudolikelihood = -309.76253  (not concave)
Iteration 618: log pseudolikelihood = -309.76213  (not concave)
Iteration 619: log pseudolikelihood = -309.76173  (not concave)
Iteration 620: log pseudolikelihood = -309.76133  (not concave)
Iteration 621: log pseudolikelihood = -309.76093  (not concave)
Iteration 622: log pseudolikelihood = -309.76053  (not concave)
Iteration 623: log pseudolikelihood = -309.76014  (not concave)
Iteration 624: log pseudolikelihood = -309.75974  (not concave)
Iteration 625: log pseudolikelihood = -309.75934  (not concave)
Iteration 626: log pseudolikelihood = -309.75895  (not concave)
Iteration 627: log pseudolikelihood = -309.75855  (not concave)
Iteration 628: log pseudolikelihood = -309.75816  (not concave)
Iteration 629: log pseudolikelihood = -309.75776  (not concave)
Iteration 630: log pseudolikelihood = -309.75737  (not concave)
Iteration 631: log pseudolikelihood = -309.75698  (not concave)
Iteration 632: log pseudolikelihood = -309.75658  (not concave)
Iteration 633: log pseudolikelihood = -309.75619  (not concave)
Iteration 634: log pseudolikelihood =  -309.7558  (not concave)
Iteration 635: log pseudolikelihood = -309.75541  (not concave)
Iteration 636: log pseudolikelihood = -309.75502  (not concave)
Iteration 637: log pseudolikelihood = -309.75463  (not concave)
Iteration 638: log pseudolikelihood = -309.75424  (not concave)
Iteration 639: log pseudolikelihood = -309.75386  (not concave)
Iteration 640: log pseudolikelihood = -309.75347  (not concave)
Iteration 641: log pseudolikelihood = -309.75308  (not concave)
Iteration 642: log pseudolikelihood = -309.75269  (not concave)
Iteration 643: log pseudolikelihood = -309.75231  (not concave)
Iteration 644: log pseudolikelihood = -309.75192  (not concave)
Iteration 645: log pseudolikelihood = -309.75154  (not concave)
Iteration 646: log pseudolikelihood = -309.75116  (not concave)
Iteration 647: log pseudolikelihood = -309.75077  (not concave)
Iteration 648: log pseudolikelihood = -309.75039  (not concave)
Iteration 649: log pseudolikelihood = -309.75001  (not concave)
Iteration 650: log pseudolikelihood = -309.74962  (not concave)
Iteration 651: log pseudolikelihood = -309.74924  (not concave)
Iteration 652: log pseudolikelihood = -309.74886  (not concave)
Iteration 653: log pseudolikelihood = -309.74848  (not concave)
Iteration 654: log pseudolikelihood =  -309.7481  (not concave)
Iteration 655: log pseudolikelihood = -309.74772  (not concave)
Iteration 656: log pseudolikelihood = -309.74735  (not concave)
Iteration 657: log pseudolikelihood = -309.74697  (not concave)
Iteration 658: log pseudolikelihood = -309.74659  (not concave)
Iteration 659: log pseudolikelihood = -309.74621  (not concave)
Iteration 660: log pseudolikelihood = -309.74584  (not concave)
Iteration 661: log pseudolikelihood = -309.74546  (not concave)
Iteration 662: log pseudolikelihood = -309.74509  (not concave)
Iteration 663: log pseudolikelihood = -309.74471  (not concave)
Iteration 664: log pseudolikelihood = -309.74434  (not concave)
Iteration 665: log pseudolikelihood = -309.74396  (not concave)
Iteration 666: log pseudolikelihood = -309.74359  (not concave)
Iteration 667: log pseudolikelihood = -309.74322  (not concave)
Iteration 668: log pseudolikelihood = -309.74285  (not concave)
Iteration 669: log pseudolikelihood = -309.74248  (not concave)
Iteration 670: log pseudolikelihood =  -309.7421  (not concave)
Iteration 671: log pseudolikelihood = -309.74173  (not concave)
Iteration 672: log pseudolikelihood = -309.74136  (not concave)
Iteration 673: log pseudolikelihood =   -309.741  (not concave)
Iteration 674: log pseudolikelihood = -309.74063  (not concave)
Iteration 675: log pseudolikelihood = -309.74026  (not concave)
Iteration 676: log pseudolikelihood = -309.73989  (not concave)
Iteration 677: log pseudolikelihood = -309.73952  (not concave)
Iteration 678: log pseudolikelihood = -309.73916  (not concave)
Iteration 679: log pseudolikelihood = -309.73879  (not concave)
Iteration 680: log pseudolikelihood = -309.73843  (not concave)
Iteration 681: log pseudolikelihood = -309.73806  (not concave)
Iteration 682: log pseudolikelihood =  -309.7377  (not concave)
Iteration 683: log pseudolikelihood = -309.73733  (not concave)
Iteration 684: log pseudolikelihood = -309.73697  (not concave)
Iteration 685: log pseudolikelihood = -309.73661  (not concave)
Iteration 686: log pseudolikelihood = -309.73624  (not concave)
Iteration 687: log pseudolikelihood = -309.73588  (not concave)
Iteration 688: log pseudolikelihood = -309.73552  (not concave)
Iteration 689: log pseudolikelihood = -309.73516  (not concave)
Iteration 690: log pseudolikelihood =  -309.7348  (not concave)
Iteration 691: log pseudolikelihood = -309.73444  (not concave)
Iteration 692: log pseudolikelihood = -309.73408  (not concave)
Iteration 693: log pseudolikelihood = -309.73372  (not concave)
Iteration 694: log pseudolikelihood = -309.73336  (not concave)
Iteration 695: log pseudolikelihood =   -309.733  (not concave)
Iteration 696: log pseudolikelihood = -309.73265  (not concave)
Iteration 697: log pseudolikelihood = -309.73229  (not concave)
Iteration 698: log pseudolikelihood = -309.73193  (not concave)
Iteration 699: log pseudolikelihood = -309.73158  (not concave)
Iteration 700: log pseudolikelihood = -309.73122  (not concave)
Iteration 701: log pseudolikelihood = -309.73087  (not concave)
Iteration 702: log pseudolikelihood = -309.73051  (not concave)
Iteration 703: log pseudolikelihood = -309.73016  (not concave)
Iteration 704: log pseudolikelihood = -309.72981  (not concave)
Iteration 705: log pseudolikelihood = -309.72945  (not concave)
Iteration 706: log pseudolikelihood =  -309.7291  (not concave)
Iteration 707: log pseudolikelihood = -309.72875  (not concave)
Iteration 708: log pseudolikelihood =  -309.7284  (not concave)
Iteration 709: log pseudolikelihood = -309.72805  (not concave)
Iteration 710: log pseudolikelihood =  -309.7277  (not concave)
Iteration 711: log pseudolikelihood = -309.72735  (not concave)
Iteration 712: log pseudolikelihood =   -309.727  (not concave)
Iteration 713: log pseudolikelihood = -309.72665  (not concave)
Iteration 714: log pseudolikelihood =  -309.7263  (not concave)
Iteration 715: log pseudolikelihood = -309.72595  (not concave)
Iteration 716: log pseudolikelihood = -309.72561  (not concave)
Iteration 717: log pseudolikelihood = -309.72526  (not concave)
Iteration 718: log pseudolikelihood = -309.72491  (not concave)
Iteration 719: log pseudolikelihood = -309.72457  (not concave)
Iteration 720: log pseudolikelihood = -309.72422  (not concave)
Iteration 721: log pseudolikelihood = -309.72388  (not concave)
Iteration 722: log pseudolikelihood = -309.72353  (not concave)
Iteration 723: log pseudolikelihood = -309.72319  (not concave)
Iteration 724: log pseudolikelihood = -309.72284  (not concave)
Iteration 725: log pseudolikelihood =  -309.7225  (not concave)
Iteration 726: log pseudolikelihood = -309.72216  (not concave)
Iteration 727: log pseudolikelihood = -309.72182  (not concave)
Iteration 728: log pseudolikelihood = -309.72147  (not concave)
Iteration 729: log pseudolikelihood = -309.72113  (not concave)
Iteration 730: log pseudolikelihood = -309.72079  (not concave)
Iteration 731: log pseudolikelihood = -309.72045  (not concave)
Iteration 732: log pseudolikelihood = -309.72011  (not concave)
Iteration 733: log pseudolikelihood = -309.71977  (not concave)
Iteration 734: log pseudolikelihood = -309.71943  (not concave)
Iteration 735: log pseudolikelihood =  -309.7191  (not concave)
Iteration 736: log pseudolikelihood = -309.71876  (not concave)
Iteration 737: log pseudolikelihood = -309.71842  (not concave)
Iteration 738: log pseudolikelihood = -309.71808  (not concave)
Iteration 739: log pseudolikelihood = -309.71775  (not concave)
Iteration 740: log pseudolikelihood = -309.71741  (not concave)
Iteration 741: log pseudolikelihood = -309.71707  (not concave)
Iteration 742: log pseudolikelihood = -309.71674  (not concave)
Iteration 743: log pseudolikelihood =  -309.7164  (not concave)
Iteration 744: log pseudolikelihood = -309.71607  (not concave)
Iteration 745: log pseudolikelihood = -309.71574  (not concave)
Iteration 746: log pseudolikelihood =  -309.7154  (not concave)
Iteration 747: log pseudolikelihood = -309.71507  (not concave)
Iteration 748: log pseudolikelihood = -309.71474  (not concave)
Iteration 749: log pseudolikelihood =  -309.7144  (not concave)
Iteration 750: log pseudolikelihood = -309.71407  (not concave)
Iteration 751: log pseudolikelihood = -309.71374  (not concave)
Iteration 752: log pseudolikelihood = -309.71341  (not concave)
Iteration 753: log pseudolikelihood = -309.71308  (not concave)
Iteration 754: log pseudolikelihood = -309.71275  (not concave)
Iteration 755: log pseudolikelihood = -309.71242  (not concave)
Iteration 756: log pseudolikelihood = -309.71209  (not concave)
Iteration 757: log pseudolikelihood = -309.71176  (not concave)
Iteration 758: log pseudolikelihood = -309.71144  (not concave)
Iteration 759: log pseudolikelihood = -309.71111  (not concave)
Iteration 760: log pseudolikelihood = -309.71078  (not concave)
Iteration 761: log pseudolikelihood = -309.71045  (not concave)
Iteration 762: log pseudolikelihood = -309.71013  (not concave)
Iteration 763: log pseudolikelihood =  -309.7098  (not concave)
Iteration 764: log pseudolikelihood = -309.70948  (not concave)
Iteration 765: log pseudolikelihood = -309.70915  (not concave)
Iteration 766: log pseudolikelihood = -309.70883  (not concave)
Iteration 767: log pseudolikelihood =  -309.7085  (not concave)
Iteration 768: log pseudolikelihood = -309.70818  (not concave)
Iteration 769: log pseudolikelihood = -309.70786  (not concave)
Iteration 770: log pseudolikelihood = -309.70753  (not concave)
Iteration 771: log pseudolikelihood = -309.70721  (not concave)
Iteration 772: log pseudolikelihood = -309.70689  (not concave)
Iteration 773: log pseudolikelihood = -309.70657  (not concave)
Iteration 774: log pseudolikelihood = -309.70625  (not concave)
Iteration 775: log pseudolikelihood = -309.70593  (not concave)
Iteration 776: log pseudolikelihood =  -309.7056  (not concave)
Iteration 777: log pseudolikelihood = -309.70528  (not concave)
Iteration 778: log pseudolikelihood = -309.70497  (not concave)
Iteration 779: log pseudolikelihood = -309.70465  (not concave)
Iteration 780: log pseudolikelihood = -309.70433  (not concave)
Iteration 781: log pseudolikelihood = -309.70401  (not concave)
Iteration 782: log pseudolikelihood = -309.70369  (not concave)
Iteration 783: log pseudolikelihood = -309.70337  (not concave)
Iteration 784: log pseudolikelihood = -309.70306  (not concave)
Iteration 785: log pseudolikelihood = -309.70274  (not concave)
Iteration 786: log pseudolikelihood = -309.70242  (not concave)
Iteration 787: log pseudolikelihood = -309.70211  (not concave)
Iteration 788: log pseudolikelihood = -309.70179  (not concave)
Iteration 789: log pseudolikelihood = -309.70148  (not concave)
Iteration 790: log pseudolikelihood = -309.70116  (not concave)
Iteration 791: log pseudolikelihood = -309.70085  (not concave)
Iteration 792: log pseudolikelihood = -309.70054  (not concave)
Iteration 793: log pseudolikelihood = -309.70022  (not concave)
Iteration 794: log pseudolikelihood = -309.69991  (not concave)
Iteration 795: log pseudolikelihood =  -309.6996  (not concave)
Iteration 796: log pseudolikelihood = -309.69929  (not concave)
Iteration 797: log pseudolikelihood = -309.69897  (not concave)
Iteration 798: log pseudolikelihood = -309.69866  (not concave)
Iteration 799: log pseudolikelihood = -309.69835  (not concave)
Iteration 800: log pseudolikelihood = -309.69804  (not concave)
Iteration 801: log pseudolikelihood = -309.69773  (not concave)
Iteration 802: log pseudolikelihood = -309.69742  (not concave)
Iteration 803: log pseudolikelihood = -309.69711  (not concave)
Iteration 804: log pseudolikelihood =  -309.6968  (not concave)
Iteration 805: log pseudolikelihood =  -309.6965  (not concave)
Iteration 806: log pseudolikelihood = -309.69619  (not concave)
Iteration 807: log pseudolikelihood = -309.69588  (not concave)
Iteration 808: log pseudolikelihood = -309.69557  (not concave)
Iteration 809: log pseudolikelihood = -309.69527  (not concave)
Iteration 810: log pseudolikelihood = -309.69496  (not concave)
Iteration 811: log pseudolikelihood = -309.69465  (not concave)
Iteration 812: log pseudolikelihood = -309.69435  (not concave)
Iteration 813: log pseudolikelihood = -309.69404  (not concave)
Iteration 814: log pseudolikelihood = -309.69374  (not concave)
Iteration 815: log pseudolikelihood = -309.69343  (not concave)
Iteration 816: log pseudolikelihood = -309.69313  (not concave)
Iteration 817: log pseudolikelihood = -309.69283  (not concave)
Iteration 818: log pseudolikelihood = -309.69252  (not concave)
Iteration 819: log pseudolikelihood = -309.69222  (not concave)
Iteration 820: log pseudolikelihood = -309.69192  (not concave)
Iteration 821: log pseudolikelihood = -309.69161  (not concave)
Iteration 822: log pseudolikelihood = -309.69131  (not concave)
Iteration 823: log pseudolikelihood = -309.69101  (not concave)
Iteration 824: log pseudolikelihood = -309.69071  (not concave)
Iteration 825: log pseudolikelihood = -309.69041  (not concave)
Iteration 826: log pseudolikelihood = -309.69011  (not concave)
Iteration 827: log pseudolikelihood = -309.68981  (not concave)
Iteration 828: log pseudolikelihood = -309.68951  (not concave)
Iteration 829: log pseudolikelihood = -309.68921  (not concave)
Iteration 830: log pseudolikelihood = -309.68891  (not concave)
Iteration 831: log pseudolikelihood = -309.68861  (not concave)
Iteration 832: log pseudolikelihood = -309.68832  (not concave)
Iteration 833: log pseudolikelihood = -309.68802  (not concave)
Iteration 834: log pseudolikelihood = -309.68772  (not concave)
Iteration 835: log pseudolikelihood = -309.68742  (not concave)
Iteration 836: log pseudolikelihood = -309.68713  (not concave)
Iteration 837: log pseudolikelihood = -309.68683  (not concave)
Iteration 838: log pseudolikelihood = -309.68654  (not concave)
Iteration 839: log pseudolikelihood = -309.68624  (not concave)
Iteration 840: log pseudolikelihood = -309.68595  (not concave)
Iteration 841: log pseudolikelihood = -309.68565  (not concave)
Iteration 842: log pseudolikelihood = -309.68536  (not concave)
Iteration 843: log pseudolikelihood = -309.68506  (not concave)
Iteration 844: log pseudolikelihood = -309.68477  (not concave)
Iteration 845: log pseudolikelihood = -309.68448  (not concave)
Iteration 846: log pseudolikelihood = -309.68418  (not concave)
Iteration 847: log pseudolikelihood = -309.68389  (not concave)
Iteration 848: log pseudolikelihood =  -309.6836  (not concave)
Iteration 849: log pseudolikelihood = -309.68331  (not concave)
Iteration 850: log pseudolikelihood = -309.68302  (not concave)
Iteration 851: log pseudolikelihood = -309.68272  (not concave)
Iteration 852: log pseudolikelihood = -309.68243  (not concave)
Iteration 853: log pseudolikelihood = -309.68214  (not concave)
Iteration 854: log pseudolikelihood = -309.68185  (not concave)
Iteration 855: log pseudolikelihood = -309.68156  (not concave)
Iteration 856: log pseudolikelihood = -309.68128  (not concave)
Iteration 857: log pseudolikelihood = -309.68099  (not concave)
Iteration 858: log pseudolikelihood =  -309.6807  (not concave)
Iteration 859: log pseudolikelihood = -309.68041  (not concave)
Iteration 860: log pseudolikelihood = -309.68012  (not concave)
Iteration 861: log pseudolikelihood = -309.67984  (not concave)
Iteration 862: log pseudolikelihood = -309.67955  (not concave)
Iteration 863: log pseudolikelihood = -309.67926  (not concave)
Iteration 864: log pseudolikelihood = -309.67898  (not concave)
Iteration 865: log pseudolikelihood = -309.67869  (not concave)
Iteration 866: log pseudolikelihood =  -309.6784  (not concave)
Iteration 867: log pseudolikelihood = -309.67812  (not concave)
Iteration 868: log pseudolikelihood = -309.67783  (not concave)
Iteration 869: log pseudolikelihood = -309.67755  (not concave)
Iteration 870: log pseudolikelihood = -309.67726  (not concave)
Iteration 871: log pseudolikelihood = -309.67698  (not concave)
Iteration 872: log pseudolikelihood =  -309.6767  (not concave)
Iteration 873: log pseudolikelihood = -309.67641  (not concave)
Iteration 874: log pseudolikelihood = -309.67613  (not concave)
Iteration 875: log pseudolikelihood = -309.67585  (not concave)
Iteration 876: log pseudolikelihood = -309.67557  (not concave)
Iteration 877: log pseudolikelihood = -309.67528  (not concave)
Iteration 878: log pseudolikelihood =   -309.675  (not concave)
Iteration 879: log pseudolikelihood = -309.67472  (not concave)
Iteration 880: log pseudolikelihood = -309.67444  (not concave)
Iteration 881: log pseudolikelihood = -309.67416  (not concave)
Iteration 882: log pseudolikelihood = -309.67388  (not concave)
Iteration 883: log pseudolikelihood =  -309.6736  (not concave)
Iteration 884: log pseudolikelihood = -309.67332  (not concave)
Iteration 885: log pseudolikelihood = -309.67304  (not concave)
Iteration 886: log pseudolikelihood = -309.67276  (not concave)
Iteration 887: log pseudolikelihood = -309.67249  (not concave)
Iteration 888: log pseudolikelihood = -309.67221  (not concave)
Iteration 889: log pseudolikelihood = -309.67193  (not concave)
Iteration 890: log pseudolikelihood = -309.67165  (not concave)
Iteration 891: log pseudolikelihood = -309.67137  (not concave)
Iteration 892: log pseudolikelihood =  -309.6711  (not concave)
Iteration 893: log pseudolikelihood = -309.67082  (not concave)
Iteration 894: log pseudolikelihood = -309.67055  (not concave)
Iteration 895: log pseudolikelihood = -309.67027  (not concave)
Iteration 896: log pseudolikelihood = -309.66999  (not concave)
Iteration 897: log pseudolikelihood = -309.66972  (not concave)
Iteration 898: log pseudolikelihood = -309.66944  (not concave)
Iteration 899: log pseudolikelihood = -309.66917  (not concave)
Iteration 900: log pseudolikelihood =  -309.6689  (not concave)
Iteration 901: log pseudolikelihood = -309.66862  (not concave)
Iteration 902: log pseudolikelihood = -309.66835  (not concave)
Iteration 903: log pseudolikelihood = -309.66808  (not concave)
Iteration 904: log pseudolikelihood =  -309.6678  (not concave)
Iteration 905: log pseudolikelihood = -309.66753  (not concave)
Iteration 906: log pseudolikelihood = -309.66726  (not concave)
Iteration 907: log pseudolikelihood = -309.66699  (not concave)
Iteration 908: log pseudolikelihood = -309.66672  (not concave)
Iteration 909: log pseudolikelihood = -309.66644  (not concave)
Iteration 910: log pseudolikelihood = -309.66617  (not concave)
Iteration 911: log pseudolikelihood =  -309.6659  (not concave)
Iteration 912: log pseudolikelihood = -309.66563  (not concave)
Iteration 913: log pseudolikelihood = -309.66536  (not concave)
Iteration 914: log pseudolikelihood = -309.66509  (not concave)
Iteration 915: log pseudolikelihood = -309.66482  (not concave)
Iteration 916: log pseudolikelihood = -309.66455  (not concave)
Iteration 917: log pseudolikelihood = -309.66429  (not concave)
Iteration 918: log pseudolikelihood = -309.66402  (not concave)
Iteration 919: log pseudolikelihood = -309.66375  (not concave)
Iteration 920: log pseudolikelihood = -309.66348  (not concave)
Iteration 921: log pseudolikelihood = -309.66321  (not concave)
Iteration 922: log pseudolikelihood = -309.66295  (not concave)
Iteration 923: log pseudolikelihood = -309.66268  (not concave)
Iteration 924: log pseudolikelihood = -309.66241  (not concave)
Iteration 925: log pseudolikelihood = -309.66215  (not concave)
Iteration 926: log pseudolikelihood = -309.66188  (not concave)
Iteration 927: log pseudolikelihood = -309.66162  (not concave)
Iteration 928: log pseudolikelihood = -309.66135  (not concave)
Iteration 929: log pseudolikelihood = -309.66109  (not concave)
Iteration 930: log pseudolikelihood = -309.66082  (not concave)
Iteration 931: log pseudolikelihood = -309.66056  (not concave)
Iteration 932: log pseudolikelihood = -309.66029  (not concave)
Iteration 933: log pseudolikelihood = -309.66003  (not concave)
Iteration 934: log pseudolikelihood = -309.65977  (not concave)
Iteration 935: log pseudolikelihood =  -309.6595  (not concave)
Iteration 936: log pseudolikelihood = -309.65924  (not concave)
Iteration 937: log pseudolikelihood = -309.65898  (not concave)
Iteration 938: log pseudolikelihood = -309.65872  (not concave)
Iteration 939: log pseudolikelihood = -309.65846  (not concave)
Iteration 940: log pseudolikelihood = -309.65819  (not concave)
Iteration 941: log pseudolikelihood = -309.65793  (not concave)
Iteration 942: log pseudolikelihood = -309.65767  (not concave)
Iteration 943: log pseudolikelihood = -309.65741  (not concave)
Iteration 944: log pseudolikelihood = -309.65715  (not concave)
Iteration 945: log pseudolikelihood = -309.65689  (not concave)
Iteration 946: log pseudolikelihood = -309.65663  (not concave)
Iteration 947: log pseudolikelihood = -309.65637  (not concave)
Iteration 948: log pseudolikelihood = -309.65611  (not concave)
Iteration 949: log pseudolikelihood = -309.65585  (not concave)
Iteration 950: log pseudolikelihood =  -309.6556  (not concave)
Iteration 951: log pseudolikelihood = -309.65534  (not concave)
Iteration 952: log pseudolikelihood = -309.65508  (not concave)
Iteration 953: log pseudolikelihood = -309.65482  (not concave)
Iteration 954: log pseudolikelihood = -309.65456  (not concave)
Iteration 955: log pseudolikelihood = -309.65431  (not concave)
Iteration 956: log pseudolikelihood = -309.65405  (not concave)
Iteration 957: log pseudolikelihood = -309.65379  (not concave)
Iteration 958: log pseudolikelihood = -309.65354  (not concave)
Iteration 959: log pseudolikelihood = -309.65328  (not concave)
Iteration 960: log pseudolikelihood = -309.65303  (not concave)
Iteration 961: log pseudolikelihood = -309.65277  (not concave)
Iteration 962: log pseudolikelihood = -309.65252  (not concave)
Iteration 963: log pseudolikelihood = -309.65226  (not concave)
Iteration 964: log pseudolikelihood = -309.65201  (not concave)
Iteration 965: log pseudolikelihood = -309.65175  (not concave)
Iteration 966: log pseudolikelihood =  -309.6515  (not concave)
Iteration 967: log pseudolikelihood = -309.65125  (not concave)
Iteration 968: log pseudolikelihood = -309.65099  (not concave)
Iteration 969: log pseudolikelihood = -309.65074  (not concave)
Iteration 970: log pseudolikelihood = -309.65049  
Iteration 971: log pseudolikelihood = -309.51964  (backed up)
Iteration 972: log pseudolikelihood = -309.25932  
Iteration 973: log pseudolikelihood = -309.15781  
Iteration 974: log pseudolikelihood = -309.11237  
Iteration 975: log pseudolikelihood = -309.10991  
Iteration 976: log pseudolikelihood =  -309.1099  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      22.61
Log pseudolikelihood =  -309.1099               Prob > chi2       =     0.0466

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   6.307225    5.55367     1.14   0.256    -4.577768    17.19222
     capcheither20 |   7.952862   6.161758     1.29   0.197    -4.123961    20.02969
   regchangeeither |   1.927417   1.831121     1.05   0.293    -1.661513    5.516348
      chTEAltorBmt |   2.065919   1.842926     1.12   0.262    -1.546151    5.677988
           alformA |   7.213604   5.574834     1.29   0.196    -3.712869    18.14008
             demdA |   1.478864   1.742306     0.85   0.396    -1.935993     4.89372
         asymmetry |  -.8875486   1.202061    -0.74   0.460    -3.243545    1.468448
          nomicoop |  -2.249284   1.201948    -1.87   0.061    -4.605059    .1064902
            treaty |   .0046261   1.670707     0.00   0.998    -3.269899    3.279151
           milinst |   7.705352   4.658633     1.65   0.098    -1.425401    16.83611
              time |  -.0825424   .2911421    -0.28   0.777    -.6531705    .4880857
        timesquare |  -.0096711   .0120754    -0.80   0.423    -.0333384    .0139961
          timecube |   .0001674   .0001595     1.05   0.294    -.0001451      .00048
             _cons |  -7.194337   6.598119    -1.09   0.276    -20.12641    5.737738
-------------------+----------------------------------------------------------------
G                  |
    TerrThreatAvg4 |   .4810989   .1325192     3.63   0.000      .221366    .7408319
num_dems_on_border |  -.3016329   .1177283    -2.56   0.010    -.5323762   -.0708896
       num_borders |   .1335575   .0499786     2.67   0.008     .0356013    .2315138
           coldwar |   .3481304   .2734552     1.27   0.203    -.1878319    .8840928
       Lenergy_pop |  -.1665239    .075848    -2.20   0.028    -.3151833   -.0178645
           Oil_exp |   .4630253   .3683131     1.26   0.209    -.2588551    1.184906
           maj_pow |    .174076   .4002164     0.43   0.664    -.6103336    .9584857
         kgd_rival |   .2956863   .3836374     0.77   0.441    -.4562292    1.047602
             _cons |  -4.818665   .4043262   -11.92   0.000     -5.61113   -4.026201
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -551.38033
rescale:       log pseudolikelihood = -339.35535
rescale eq:    log pseudolikelihood = -339.35535

initial:       log pseudolikelihood = -339.35535
rescale:       log pseudolikelihood = -339.35535
rescale eq:    log pseudolikelihood = -339.35535
Iteration 0:   log pseudolikelihood = -339.35535  
Iteration 1:   log pseudolikelihood = -321.79617  (not concave)
Iteration 2:   log pseudolikelihood = -321.22041  (not concave)
Iteration 3:   log pseudolikelihood =  -320.9456  (not concave)
Iteration 4:   log pseudolikelihood = -320.69421  (not concave)
Iteration 5:   log pseudolikelihood =  -320.5638  (not concave)
Iteration 6:   log pseudolikelihood = -320.33664  (not concave)
Iteration 7:   log pseudolikelihood = -320.17018  (not concave)
Iteration 8:   log pseudolikelihood = -320.09695  (not concave)
Iteration 9:   log pseudolikelihood = -320.02487  (not concave)
Iteration 10:  log pseudolikelihood = -319.95061  (not concave)
Iteration 11:  log pseudolikelihood = -319.87566  (not concave)
Iteration 12:  log pseudolikelihood = -319.80112  (not concave)
Iteration 13:  log pseudolikelihood = -319.72551  (not concave)
Iteration 14:  log pseudolikelihood = -319.64875  (not concave)
Iteration 15:  log pseudolikelihood = -319.57085  (not concave)
Iteration 16:  log pseudolikelihood = -319.49223  (not concave)
Iteration 17:  log pseudolikelihood = -319.41221  (not concave)
Iteration 18:  log pseudolikelihood = -319.33108  (not concave)
Iteration 19:  log pseudolikelihood =  -319.2485  (not concave)
Iteration 20:  log pseudolikelihood =  -319.1649  (not concave)
Iteration 21:  log pseudolikelihood = -319.07976  (not concave)
Iteration 22:  log pseudolikelihood = -318.99353  (not concave)
Iteration 23:  log pseudolikelihood = -318.90578  (not concave)
Iteration 24:  log pseudolikelihood = -318.81701  (not concave)
Iteration 25:  log pseudolikelihood = -318.72677  (not concave)
Iteration 26:  log pseudolikelihood =  -318.6356  (not concave)
Iteration 27:  log pseudolikelihood = -318.54305  (not concave)
Iteration 28:  log pseudolikelihood = -318.44972  (not concave)
Iteration 29:  log pseudolikelihood = -318.35516  (not concave)
Iteration 30:  log pseudolikelihood = -318.26001  (not concave)
Iteration 31:  log pseudolikelihood =  -318.1638  (not concave)
Iteration 32:  log pseudolikelihood = -318.06722  (not concave)
Iteration 33:  log pseudolikelihood = -317.96981  (not concave)
Iteration 34:  log pseudolikelihood = -317.87227  (not concave)
Iteration 35:  log pseudolikelihood = -317.77413  (not concave)
Iteration 36:  log pseudolikelihood = -317.67612  (not concave)
Iteration 37:  log pseudolikelihood = -317.57775  (not concave)
Iteration 38:  log pseudolikelihood = -317.47978  (not concave)
Iteration 39:  log pseudolikelihood = -317.38169  (not concave)
Iteration 40:  log pseudolikelihood = -317.28424  
Iteration 41:  log pseudolikelihood = -313.87315  
Iteration 42:  log pseudolikelihood = -310.63223  (not concave)
Iteration 43:  log pseudolikelihood = -310.55352  
Iteration 44:  log pseudolikelihood = -310.15202  
Iteration 45:  log pseudolikelihood = -309.64702  
Iteration 46:  log pseudolikelihood = -309.50533  
Iteration 47:  log pseudolikelihood = -309.38316  
Iteration 48:  log pseudolikelihood = -309.34364  
Iteration 49:  log pseudolikelihood = -309.33825  
Iteration 50:  log pseudolikelihood = -309.33819  
Iteration 51:  log pseudolikelihood = -309.33819  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      22.43
Log pseudolikelihood = -309.33819               Prob > chi2       =     0.0490

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   6.305565   5.629502     1.12   0.263    -4.728056    17.33919
     capcheither20 |    7.94985   6.228268     1.28   0.202    -4.257331    20.15703
   regchangeeither |   1.931572   1.831836     1.05   0.292    -1.658759    5.521904
      chTEAltorBmt |   2.071484   1.837181     1.13   0.260    -1.529324    5.672292
           alformA |   7.208134   5.645933     1.28   0.202    -3.857691    18.27396
             demdA |   1.476499   1.771884     0.83   0.405    -1.996331    4.949328
         asymmetry |  -.8959909   1.200748    -0.75   0.456    -3.249413    1.457431
          nomicoop |  -2.262996   1.191004    -1.90   0.057     -4.59732    .0713279
            treaty |   .0128822   1.682858     0.01   0.994    -3.285458    3.311222
           milinst |   7.696469   4.675574     1.65   0.100    -1.467487    16.86043
              time |    -.08574   .2910735    -0.29   0.768    -.6562336    .4847537
        timesquare |  -.0095385   .0120556    -0.79   0.429    -.0331671    .0140901
          timecube |    .000166   .0001592     1.04   0.297     -.000146     .000478
             _cons |  -7.174641   6.712412    -1.07   0.285    -20.33073    5.981445
-------------------+----------------------------------------------------------------
G                  |
    TerrThreatAvg5 |   .4989374   .1373732     3.63   0.000     .2296908     .768184
num_dems_on_border |   -.306586   .1184822    -2.59   0.010    -.5388068   -.0743652
       num_borders |    .133273   .0503697     2.65   0.008     .0345502    .2319958
           coldwar |   .3312169   .2712327     1.22   0.222    -.2003895    .8628233
       Lenergy_pop |   -.164244   .0761284    -2.16   0.031     -.313453    -.015035
           Oil_exp |   .4574569   .3690827     1.24   0.215    -.2659319    1.180846
           maj_pow |   .1656367   .4009673     0.41   0.680    -.6202447    .9515181
         kgd_rival |   .2952568   .3839676     0.77   0.442    -.4573058    1.047819
             _cons |  -4.795028   .4020411   -11.93   0.000    -5.583014   -4.007042
------------------------------------------------------------------------------------
.
.                 rubin;

.                                 estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05 ) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &       6.323 \\
            &     (5.552) \\
capcheither20&       7.964 \\
            &     (6.141) \\
regchangeeither&       1.930 \\
            &     (1.834) \\
chTEAltorBmt&       2.072 \\
            &     (1.838) \\
alformA     &       7.229 \\
            &     (5.551) \\
demdA       &       1.474 \\
            &     (1.743) \\
asymmetry   &      -0.889 \\
            &     (1.199) \\
nomicoop    &      -2.255 \\
            &     (1.197) \\
treaty      &       0.004 \\
            &     (1.675) \\
milinst     &       7.725 \\
            &     (4.646) \\
time        &      -0.084 \\
            &     (0.291) \\
timesquare  &      -0.010 \\
            &     (0.012) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -7.200 \\
            &     (6.580) \\
G           &             \\
TerrThreatAvg5&       0.510*\\
            &     (0.142) \\
num_dems_on_border&      -0.305*\\
            &     (0.117) \\
num_borders &       0.132*\\
            &     (0.050) \\
coldwar     &       0.342 \\
            &     (0.273) \\
Lenergy_pop &      -0.165*\\
            &     (0.076) \\
Oil_exp     &       0.463 \\
            &     (0.369) \\
maj_pow     &       0.177 \\
            &     (0.400) \\
kgd_rival   &       0.294 \\
            &     (0.384) \\
_cons       &      -4.808*\\
            &     (0.404) \\

.                         matrix rename ll ll_avg;

.                                         matrix list ll_avg;

symmetric ll_avg[1,1]
            c1
r1  -309.19274

.                                 estimates store NeighborAVG;

.                                                 /* 1950-2001 Sample */
>                 use NiemanGibler_demdiff_ally, clear;

.                 logit violate TerrThreat2 num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv, cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -372.12723  
Iteration 2:   log pseudolikelihood = -367.23431  
Iteration 3:   log pseudolikelihood = -367.12351  
Iteration 4:   log pseudolikelihood = -367.12322  
Iteration 5:   log pseudolikelihood = -367.12322  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      68.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -367.12322               Pseudo R2         =     0.0755

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       TerrThreat2 |    4.01077    .916538     4.38   0.000     2.214388    5.807151
num_dems_on_border |  -.2410896   .1509834    -1.60   0.110    -.5370117    .0548325
       num_borders |   .0093427   .0601482     0.16   0.877    -.1085455     .127231
           coldwar |  -.0707733   .2510075    -0.28   0.778    -.5627389    .4211923
       Lenergy_pop |  -.2073064   .0706459    -2.93   0.003    -.3457699   -.0688429
           Oil_exp |   .3122076   .3221711     0.97   0.333    -.3192361    .9436514
           maj_pow |   .5734007   .3625857     1.58   0.114    -.1372543    1.284056
         kgd_rival |   .2830081   .3562347     0.79   0.427     -.415199    .9812153
             _cons |  -5.258307   .3515344   -14.96   0.000    -5.947302   -4.569313
------------------------------------------------------------------------------------

.                 matrix B1 = e(b);

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 /* Estimate 1950-2001 */
>                 forvalues i=1/5 {;
  2.                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = TerrThreat`i' num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if  year>1949 
>                         , robust cluster(atopidphase) tech(nr);
  3.                 ml init B2 B1 , copy ;
  4.                 ml search;
  5.                 ml maximize, diff;
  6.                 matrix Q`i' = e(b);
  7.                         matrix W`i' = e(V);
  8.                         matrix  ll`i' = e(ll);
  9.                         matrix chi`i' = e(chi2);
 10.                         nois _dots `i' 0;
 11.                 };
initial:       log pseudolikelihood = -292.70465
rescale:       log pseudolikelihood = -184.01602
rescale eq:    log pseudolikelihood = -184.01602

initial:       log pseudolikelihood = -184.01602
rescale:       log pseudolikelihood = -184.01602
rescale eq:    log pseudolikelihood = -184.01602
Iteration 0:   log pseudolikelihood = -184.01602  
Iteration 1:   log pseudolikelihood = -165.61402  (not concave)
Iteration 2:   log pseudolikelihood = -163.56401  
Iteration 3:   log pseudolikelihood = -161.61143  
Iteration 4:   log pseudolikelihood = -160.31442  
Iteration 5:   log pseudolikelihood = -159.71552  
Iteration 6:   log pseudolikelihood = -158.61809  (not concave)
Iteration 7:   log pseudolikelihood =  -158.6069  (not concave)
Iteration 8:   log pseudolikelihood = -158.59729  (not concave)
Iteration 9:   log pseudolikelihood = -158.59302  (not concave)
Iteration 10:  log pseudolikelihood = -158.59091  (not concave)
Iteration 11:  log pseudolikelihood = -158.58937  (not concave)
Iteration 12:  log pseudolikelihood = -158.58786  (not concave)
Iteration 13:  log pseudolikelihood =  -158.5795  (not concave)
Iteration 14:  log pseudolikelihood = -158.57122  (not concave)
Iteration 15:  log pseudolikelihood = -158.57019  (not concave)
Iteration 16:  log pseudolikelihood = -158.56809  (not concave)
Iteration 17:  log pseudolikelihood = -158.56684  (not concave)
Iteration 18:  log pseudolikelihood = -158.56582  (not concave)
Iteration 19:  log pseudolikelihood = -158.56483  (not concave)
Iteration 20:  log pseudolikelihood = -158.56385  (not concave)
Iteration 21:  log pseudolikelihood = -158.56286  (not concave)
Iteration 22:  log pseudolikelihood = -158.56186  (not concave)
Iteration 23:  log pseudolikelihood = -158.56087  (not concave)
Iteration 24:  log pseudolikelihood = -158.55989  (not concave)
Iteration 25:  log pseudolikelihood = -158.55889  (not concave)
Iteration 26:  log pseudolikelihood =  -158.5579  (not concave)
Iteration 27:  log pseudolikelihood = -158.55691  (not concave)
Iteration 28:  log pseudolikelihood = -158.55591  (not concave)
Iteration 29:  log pseudolikelihood = -158.55492  (not concave)
Iteration 30:  log pseudolikelihood = -158.55392  (not concave)
Iteration 31:  log pseudolikelihood = -158.55292  (not concave)
Iteration 32:  log pseudolikelihood = -158.55191  (not concave)
Iteration 33:  log pseudolikelihood = -158.55091  (not concave)
Iteration 34:  log pseudolikelihood =  -158.5499  (not concave)
Iteration 35:  log pseudolikelihood = -158.54889  (not concave)
Iteration 36:  log pseudolikelihood = -158.54788  (not concave)
Iteration 37:  log pseudolikelihood = -158.54686  (not concave)
Iteration 38:  log pseudolikelihood = -158.54584  (not concave)
Iteration 39:  log pseudolikelihood = -158.54482  (not concave)
Iteration 40:  log pseudolikelihood =  -158.5438  (not concave)
Iteration 41:  log pseudolikelihood = -158.54277  (not concave)
Iteration 42:  log pseudolikelihood = -158.54174  (not concave)
Iteration 43:  log pseudolikelihood = -158.54071  (not concave)
Iteration 44:  log pseudolikelihood = -158.53967  (not concave)
Iteration 45:  log pseudolikelihood = -158.53863  (not concave)
Iteration 46:  log pseudolikelihood = -158.53759  (not concave)
Iteration 47:  log pseudolikelihood = -158.53654  (not concave)
Iteration 48:  log pseudolikelihood = -158.53549  (not concave)
Iteration 49:  log pseudolikelihood = -158.53443  (not concave)
Iteration 50:  log pseudolikelihood = -158.53337  (not concave)
Iteration 51:  log pseudolikelihood = -158.53231  (not concave)
Iteration 52:  log pseudolikelihood = -158.53124  (not concave)
Iteration 53:  log pseudolikelihood = -158.53017  (not concave)
Iteration 54:  log pseudolikelihood =  -158.5291  (not concave)
Iteration 55:  log pseudolikelihood = -158.52802  (not concave)
Iteration 56:  log pseudolikelihood = -158.52694  (not concave)
Iteration 57:  log pseudolikelihood = -158.52585  (not concave)
Iteration 58:  log pseudolikelihood = -158.52476  (not concave)
Iteration 59:  log pseudolikelihood = -158.52366  (not concave)
Iteration 60:  log pseudolikelihood = -158.52256  (not concave)
Iteration 61:  log pseudolikelihood = -158.52146  (not concave)
Iteration 62:  log pseudolikelihood = -158.52035  (not concave)
Iteration 63:  log pseudolikelihood = -158.51924  (not concave)
Iteration 64:  log pseudolikelihood = -158.51812  (not concave)
Iteration 65:  log pseudolikelihood =   -158.517  (not concave)
Iteration 66:  log pseudolikelihood = -158.51587  (not concave)
Iteration 67:  log pseudolikelihood = -158.51474  (not concave)
Iteration 68:  log pseudolikelihood =  -158.5136  (not concave)
Iteration 69:  log pseudolikelihood = -158.51246  (not concave)
Iteration 70:  log pseudolikelihood = -158.51132  (not concave)
Iteration 71:  log pseudolikelihood = -158.51016  (not concave)
Iteration 72:  log pseudolikelihood = -158.50901  (not concave)
Iteration 73:  log pseudolikelihood = -158.50785  (not concave)
Iteration 74:  log pseudolikelihood = -158.50668  (not concave)
Iteration 75:  log pseudolikelihood = -158.50551  (not concave)
Iteration 76:  log pseudolikelihood = -158.50434  (not concave)
Iteration 77:  log pseudolikelihood = -158.50316  (not concave)
Iteration 78:  log pseudolikelihood = -158.50197  (not concave)
Iteration 79:  log pseudolikelihood = -158.50078  (not concave)
Iteration 80:  log pseudolikelihood = -158.49959  (not concave)
Iteration 81:  log pseudolikelihood = -158.49839  (not concave)
Iteration 82:  log pseudolikelihood = -158.49718  (not concave)
Iteration 83:  log pseudolikelihood = -158.49597  (not concave)
Iteration 84:  log pseudolikelihood = -158.49475  (not concave)
Iteration 85:  log pseudolikelihood = -158.49353  (not concave)
Iteration 86:  log pseudolikelihood = -158.49231  (not concave)
Iteration 87:  log pseudolikelihood = -158.49107  (not concave)
Iteration 88:  log pseudolikelihood = -158.48984  (not concave)
Iteration 89:  log pseudolikelihood = -158.48859  (not concave)
Iteration 90:  log pseudolikelihood = -158.48735  (not concave)
Iteration 91:  log pseudolikelihood = -158.48609  (not concave)
Iteration 92:  log pseudolikelihood = -158.48483  (not concave)
Iteration 93:  log pseudolikelihood = -158.48357  (not concave)
Iteration 94:  log pseudolikelihood =  -158.4823  (not concave)
Iteration 95:  log pseudolikelihood = -158.48102  (not concave)
Iteration 96:  log pseudolikelihood = -158.47974  (not concave)
Iteration 97:  log pseudolikelihood = -158.47846  (not concave)
Iteration 98:  log pseudolikelihood = -158.47716  (not concave)
Iteration 99:  log pseudolikelihood = -158.47587  (not concave)
Iteration 100: log pseudolikelihood = -158.47456  (not concave)
Iteration 101: log pseudolikelihood = -158.47325  (not concave)
Iteration 102: log pseudolikelihood = -158.47194  (not concave)
Iteration 103: log pseudolikelihood = -158.47062  (not concave)
Iteration 104: log pseudolikelihood =  -158.4693  (not concave)
Iteration 105: log pseudolikelihood = -158.46796  (not concave)
Iteration 106: log pseudolikelihood = -158.46663  (not concave)
Iteration 107: log pseudolikelihood = -158.46528  (not concave)
Iteration 108: log pseudolikelihood = -158.46394  (not concave)
Iteration 109: log pseudolikelihood = -158.46258  (not concave)
Iteration 110: log pseudolikelihood = -158.46122  (not concave)
Iteration 111: log pseudolikelihood = -158.45986  (not concave)
Iteration 112: log pseudolikelihood = -158.45849  (not concave)
Iteration 113: log pseudolikelihood = -158.45711  (not concave)
Iteration 114: log pseudolikelihood = -158.45573  (not concave)
Iteration 115: log pseudolikelihood = -158.45434  (not concave)
Iteration 116: log pseudolikelihood = -158.45294  (not concave)
Iteration 117: log pseudolikelihood = -158.45154  (not concave)
Iteration 118: log pseudolikelihood = -158.45014  (not concave)
Iteration 119: log pseudolikelihood = -158.44872  (not concave)
Iteration 120: log pseudolikelihood = -158.44731  (not concave)
Iteration 121: log pseudolikelihood = -158.44588  (not concave)
Iteration 122: log pseudolikelihood = -158.44445  (not concave)
Iteration 123: log pseudolikelihood = -158.44302  (not concave)
Iteration 124: log pseudolikelihood = -158.44158  (not concave)
Iteration 125: log pseudolikelihood = -158.44013  (not concave)
Iteration 126: log pseudolikelihood = -158.43868  (not concave)
Iteration 127: log pseudolikelihood = -158.43722  (not concave)
Iteration 128: log pseudolikelihood = -158.43576  (not concave)
Iteration 129: log pseudolikelihood = -158.43429  (not concave)
Iteration 130: log pseudolikelihood = -158.43281  (not concave)
Iteration 131: log pseudolikelihood = -158.43133  (not concave)
Iteration 132: log pseudolikelihood = -158.42984  (not concave)
Iteration 133: log pseudolikelihood = -158.42835  (not concave)
Iteration 134: log pseudolikelihood = -158.42685  (not concave)
Iteration 135: log pseudolikelihood = -158.42535  (not concave)
Iteration 136: log pseudolikelihood = -158.42384  (not concave)
Iteration 137: log pseudolikelihood = -158.42232  (not concave)
Iteration 138: log pseudolikelihood =  -158.4208  (not concave)
Iteration 139: log pseudolikelihood = -158.41927  (not concave)
Iteration 140: log pseudolikelihood = -158.41774  (not concave)
Iteration 141: log pseudolikelihood =  -158.4162  (not concave)
Iteration 142: log pseudolikelihood = -158.41466  (not concave)
Iteration 143: log pseudolikelihood = -158.41311  (not concave)
Iteration 144: log pseudolikelihood = -158.41155  (not concave)
Iteration 145: log pseudolikelihood = -158.40999  (not concave)
Iteration 146: log pseudolikelihood = -158.40842  (not concave)
Iteration 147: log pseudolikelihood = -158.40685  (not concave)
Iteration 148: log pseudolikelihood = -158.40527  (not concave)
Iteration 149: log pseudolikelihood = -158.40369  (not concave)
Iteration 150: log pseudolikelihood =  -158.4021  (not concave)
Iteration 151: log pseudolikelihood =  -158.4005  (not concave)
Iteration 152: log pseudolikelihood =  -158.3989  (not concave)
Iteration 153: log pseudolikelihood =  -158.3973  (not concave)
Iteration 154: log pseudolikelihood = -158.39568  (not concave)
Iteration 155: log pseudolikelihood = -158.39407  (not concave)
Iteration 156: log pseudolikelihood = -158.39245  (not concave)
Iteration 157: log pseudolikelihood = -158.39082  (not concave)
Iteration 158: log pseudolikelihood = -158.38919  (not concave)
Iteration 159: log pseudolikelihood = -158.38755  (not concave)
Iteration 160: log pseudolikelihood =  -158.3859  (not concave)
Iteration 161: log pseudolikelihood = -158.38425  (not concave)
Iteration 162: log pseudolikelihood =  -158.3826  (not concave)
Iteration 163: log pseudolikelihood = -158.38094  (not concave)
Iteration 164: log pseudolikelihood = -158.37928  (not concave)
Iteration 165: log pseudolikelihood = -158.37761  (not concave)
Iteration 166: log pseudolikelihood = -158.37593  (not concave)
Iteration 167: log pseudolikelihood = -158.37425  (not concave)
Iteration 168: log pseudolikelihood = -158.37257  (not concave)
Iteration 169: log pseudolikelihood = -158.37088  (not concave)
Iteration 170: log pseudolikelihood = -158.36918  (not concave)
Iteration 171: log pseudolikelihood = -158.36748  (not concave)
Iteration 172: log pseudolikelihood = -158.36578  (not concave)
Iteration 173: log pseudolikelihood = -158.36407  (not concave)
Iteration 174: log pseudolikelihood = -158.36235  (not concave)
Iteration 175: log pseudolikelihood = -158.36063  (not concave)
Iteration 176: log pseudolikelihood = -158.35891  (not concave)
Iteration 177: log pseudolikelihood = -158.35718  (not concave)
Iteration 178: log pseudolikelihood = -158.35545  (not concave)
Iteration 179: log pseudolikelihood = -158.35371  (not concave)
Iteration 180: log pseudolikelihood = -158.35197  (not concave)
Iteration 181: log pseudolikelihood = -158.35022  (not concave)
Iteration 182: log pseudolikelihood = -158.34847  (not concave)
Iteration 183: log pseudolikelihood = -158.34671  (not concave)
Iteration 184: log pseudolikelihood = -158.34495  (not concave)
Iteration 185: log pseudolikelihood = -158.34319  (not concave)
Iteration 186: log pseudolikelihood = -158.34142  (not concave)
Iteration 187: log pseudolikelihood = -158.33964  (not concave)
Iteration 188: log pseudolikelihood = -158.33787  (not concave)
Iteration 189: log pseudolikelihood = -158.33608  (not concave)
Iteration 190: log pseudolikelihood =  -158.3343  (not concave)
Iteration 191: log pseudolikelihood = -158.33251  (not concave)
Iteration 192: log pseudolikelihood = -158.33072  (not concave)
Iteration 193: log pseudolikelihood = -158.32892  (not concave)
Iteration 194: log pseudolikelihood = -158.32712  (not concave)
Iteration 195: log pseudolikelihood = -158.32531  (not concave)
Iteration 196: log pseudolikelihood =  -158.3235  (not concave)
Iteration 197: log pseudolikelihood = -158.32169  (not concave)
Iteration 198: log pseudolikelihood = -158.31987  (not concave)
Iteration 199: log pseudolikelihood = -158.31805  (not concave)
Iteration 200: log pseudolikelihood = -158.31623  (not concave)
Iteration 201: log pseudolikelihood =  -158.3144  (not concave)
Iteration 202: log pseudolikelihood = -158.31257  (not concave)
Iteration 203: log pseudolikelihood = -158.31073  (not concave)
Iteration 204: log pseudolikelihood = -158.30889  (not concave)
Iteration 205: log pseudolikelihood = -158.30705  (not concave)
Iteration 206: log pseudolikelihood = -158.30521  (not concave)
Iteration 207: log pseudolikelihood = -158.30336  (not concave)
Iteration 208: log pseudolikelihood = -158.30151  (not concave)
Iteration 209: log pseudolikelihood = -158.29965  (not concave)
Iteration 210: log pseudolikelihood =  -158.2978  (not concave)
Iteration 211: log pseudolikelihood = -158.29594  (not concave)
Iteration 212: log pseudolikelihood = -158.29407  (not concave)
Iteration 213: log pseudolikelihood = -158.29221  (not concave)
Iteration 214: log pseudolikelihood = -158.29034  (not concave)
Iteration 215: log pseudolikelihood = -158.28847  (not concave)
Iteration 216: log pseudolikelihood = -158.28659  (not concave)
Iteration 217: log pseudolikelihood = -158.28472  (not concave)
Iteration 218: log pseudolikelihood = -158.28284  (not concave)
Iteration 219: log pseudolikelihood = -158.28096  (not concave)
Iteration 220: log pseudolikelihood = -158.27907  (not concave)
Iteration 221: log pseudolikelihood = -158.27719  (not concave)
Iteration 222: log pseudolikelihood =  -158.2753  (not concave)
Iteration 223: log pseudolikelihood = -158.27341  (not concave)
Iteration 224: log pseudolikelihood = -158.27151  (not concave)
Iteration 225: log pseudolikelihood = -158.26962  (not concave)
Iteration 226: log pseudolikelihood = -158.26772  (not concave)
Iteration 227: log pseudolikelihood = -158.26582  (not concave)
Iteration 228: log pseudolikelihood = -158.26392  (not concave)
Iteration 229: log pseudolikelihood = -158.26202  (not concave)
Iteration 230: log pseudolikelihood = -158.26011  (not concave)
Iteration 231: log pseudolikelihood = -158.25821  (not concave)
Iteration 232: log pseudolikelihood =  -158.2563  (not concave)
Iteration 233: log pseudolikelihood = -158.25439  (not concave)
Iteration 234: log pseudolikelihood = -158.25248  (not concave)
Iteration 235: log pseudolikelihood = -158.25056  (not concave)
Iteration 236: log pseudolikelihood = -158.24865  (not concave)
Iteration 237: log pseudolikelihood = -158.24673  (not concave)
Iteration 238: log pseudolikelihood = -158.24482  (not concave)
Iteration 239: log pseudolikelihood =  -158.2429  (not concave)
Iteration 240: log pseudolikelihood = -158.24098  (not concave)
Iteration 241: log pseudolikelihood = -158.23906  (not concave)
Iteration 242: log pseudolikelihood = -158.23713  (not concave)
Iteration 243: log pseudolikelihood = -158.23521  (not concave)
Iteration 244: log pseudolikelihood = -158.23329  (not concave)
Iteration 245: log pseudolikelihood = -158.23136  (not concave)
Iteration 246: log pseudolikelihood = -158.22944  (not concave)
Iteration 247: log pseudolikelihood = -158.22751  (not concave)
Iteration 248: log pseudolikelihood = -158.22558  (not concave)
Iteration 249: log pseudolikelihood = -158.22366  (not concave)
Iteration 250: log pseudolikelihood = -158.22173  (not concave)
Iteration 251: log pseudolikelihood =  -158.2198  (not concave)
Iteration 252: log pseudolikelihood = -158.21787  (not concave)
Iteration 253: log pseudolikelihood = -158.21594  (not concave)
Iteration 254: log pseudolikelihood = -158.21401  (not concave)
Iteration 255: log pseudolikelihood = -158.21208  (not concave)
Iteration 256: log pseudolikelihood = -158.21015  (not concave)
Iteration 257: log pseudolikelihood = -158.20822  (not concave)
Iteration 258: log pseudolikelihood = -158.20629  (not concave)
Iteration 259: log pseudolikelihood = -158.20436  (not concave)
Iteration 260: log pseudolikelihood = -158.20243  (not concave)
Iteration 261: log pseudolikelihood = -158.20049  (not concave)
Iteration 262: log pseudolikelihood = -158.19856  (not concave)
Iteration 263: log pseudolikelihood = -158.19663  (not concave)
Iteration 264: log pseudolikelihood =  -158.1947  (not concave)
Iteration 265: log pseudolikelihood = -158.19277  (not concave)
Iteration 266: log pseudolikelihood = -158.19084  (not concave)
Iteration 267: log pseudolikelihood = -158.18891  (not concave)
Iteration 268: log pseudolikelihood = -158.18698  (not concave)
Iteration 269: log pseudolikelihood = -158.18506  (not concave)
Iteration 270: log pseudolikelihood = -158.18313  (not concave)
Iteration 271: log pseudolikelihood =  -158.1812  (not concave)
Iteration 272: log pseudolikelihood = -158.17927  (not concave)
Iteration 273: log pseudolikelihood = -158.17735  (not concave)
Iteration 274: log pseudolikelihood = -158.17542  (not concave)
Iteration 275: log pseudolikelihood =  -158.1735  (not concave)
Iteration 276: log pseudolikelihood = -158.17157  (not concave)
Iteration 277: log pseudolikelihood = -158.16965  (not concave)
Iteration 278: log pseudolikelihood = -158.16773  (not concave)
Iteration 279: log pseudolikelihood = -158.16581  (not concave)
Iteration 280: log pseudolikelihood = -158.16389  (not concave)
Iteration 281: log pseudolikelihood = -158.16197  (not concave)
Iteration 282: log pseudolikelihood = -158.16005  (not concave)
Iteration 283: log pseudolikelihood = -158.15814  (not concave)
Iteration 284: log pseudolikelihood = -158.15622  
Iteration 285: log pseudolikelihood = -157.76066  (not concave)
Iteration 286: log pseudolikelihood = -157.66936  (not concave)
Iteration 287: log pseudolikelihood = -157.64304  (not concave)
Iteration 288: log pseudolikelihood = -157.61769  (not concave)
Iteration 289: log pseudolikelihood = -157.54296  
Iteration 290: log pseudolikelihood = -157.50651  
Iteration 291: log pseudolikelihood = -157.33723  
Iteration 292: log pseudolikelihood = -157.32913  
Iteration 293: log pseudolikelihood = -157.32739  
Iteration 294: log pseudolikelihood = -157.32701  
Iteration 295: log pseudolikelihood = -157.32694  
Iteration 296: log pseudolikelihood = -157.32692  
Iteration 297: log pseudolikelihood = -157.32691  

                                                Number of obs     =      4,952
                                                Wald chi2(13)     =     136.63
Log pseudolikelihood = -157.32691               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 139 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   19.75693   5.090477     3.88   0.000     9.779777    29.73408
     capcheither20 |    2.16614   .9545711     2.27   0.023     .2952145    4.037065
   regchangeeither |   2.788896   2.060704     1.35   0.176     -1.25001    6.827801
      chTEAltorBmt |  -.3713052   1.429477    -0.26   0.795    -3.173029    2.430419
           alformA |   2.838754   1.192459     2.38   0.017     .5015778    5.175931
             demdA |   1.686865   1.932067     0.87   0.383    -2.099918    5.473648
         asymmetry |   -1.28973   1.277771    -1.01   0.313    -3.794116    1.214655
          nomicoop |   -3.37613   3.328666    -1.01   0.310    -9.900197    3.147936
            treaty |   3.184027   4.093123     0.78   0.437    -4.838347     11.2064
           milinst |   3.799983   1.423032     2.67   0.008     1.010891    6.589075
              time |  -.1139265   .4324804    -0.26   0.792    -.9615725    .7337195
        timesquare |  -.0005967   .0192084    -0.03   0.975    -.0382445    .0370511
          timecube |   .0000503   .0002373     0.21   0.832    -.0004147    .0005154
             _cons |  -4.640891    2.81448    -1.65   0.099    -10.15717     .875387
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat1 |   6.855118   2.520315     2.72   0.007     1.915392    11.79484
num_dems_on_border |   -.060518   .2338132    -0.26   0.796    -.5187834    .3977475
       num_borders |   .0020712   .1239777     0.02   0.987    -.2409206     .245063
           coldwar |   2.333568   .9940783     2.35   0.019     .3852104    4.281926
       Lenergy_pop |   -.140554   .1312577    -1.07   0.284    -.3978142    .1167063
           Oil_exp |   1.367273   .5225539     2.62   0.009      .343086     2.39146
           maj_pow |  -.4674752   .9401287    -0.50   0.619    -2.310094    1.375143
         kgd_rival |  -.0858082    .481093    -0.18   0.858    -1.028733    .8571168
             _cons |  -6.771592   1.195253    -5.67   0.000    -9.114246   -4.428939
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -293.85476
rescale:       log pseudolikelihood = -184.08846
rescale eq:    log pseudolikelihood = -184.08846

initial:       log pseudolikelihood = -184.08846
rescale:       log pseudolikelihood = -184.08846
rescale eq:    log pseudolikelihood = -184.08846
Iteration 0:   log pseudolikelihood = -184.08846  
Iteration 1:   log pseudolikelihood = -165.19831  (not concave)
Iteration 2:   log pseudolikelihood =  -162.8685  
Iteration 3:   log pseudolikelihood = -162.47619  
Iteration 4:   log pseudolikelihood = -159.35727  
Iteration 5:   log pseudolikelihood = -158.85201  
Iteration 6:   log pseudolikelihood = -157.97463  (not concave)
Iteration 7:   log pseudolikelihood = -157.96354  (not concave)
Iteration 8:   log pseudolikelihood = -157.95846  (not concave)
Iteration 9:   log pseudolikelihood = -157.95592  (not concave)
Iteration 10:  log pseudolikelihood = -157.95463  (not concave)
Iteration 11:  log pseudolikelihood = -157.95326  (not concave)
Iteration 12:  log pseudolikelihood = -157.95098  (not concave)
Iteration 13:  log pseudolikelihood = -157.94816  (not concave)
Iteration 14:  log pseudolikelihood = -157.94415  (not concave)
Iteration 15:  log pseudolikelihood = -157.94309  (not concave)
Iteration 16:  log pseudolikelihood = -157.94201  (not concave)
Iteration 17:  log pseudolikelihood = -157.94097  (not concave)
Iteration 18:  log pseudolikelihood = -157.93995  (not concave)
Iteration 19:  log pseudolikelihood = -157.93892  (not concave)
Iteration 20:  log pseudolikelihood =  -157.9379  (not concave)
Iteration 21:  log pseudolikelihood = -157.93689  (not concave)
Iteration 22:  log pseudolikelihood = -157.93589  (not concave)
Iteration 23:  log pseudolikelihood = -157.93489  (not concave)
Iteration 24:  log pseudolikelihood = -157.93389  (not concave)
Iteration 25:  log pseudolikelihood =  -157.9329  (not concave)
Iteration 26:  log pseudolikelihood = -157.93191  (not concave)
Iteration 27:  log pseudolikelihood = -157.93092  (not concave)
Iteration 28:  log pseudolikelihood = -157.92993  (not concave)
Iteration 29:  log pseudolikelihood = -157.92895  (not concave)
Iteration 30:  log pseudolikelihood = -157.92797  (not concave)
Iteration 31:  log pseudolikelihood = -157.92699  (not concave)
Iteration 32:  log pseudolikelihood = -157.92601  (not concave)
Iteration 33:  log pseudolikelihood = -157.92503  (not concave)
Iteration 34:  log pseudolikelihood = -157.92404  (not concave)
Iteration 35:  log pseudolikelihood = -157.92306  (not concave)
Iteration 36:  log pseudolikelihood = -157.92208  (not concave)
Iteration 37:  log pseudolikelihood =  -157.9211  (not concave)
Iteration 38:  log pseudolikelihood = -157.92012  (not concave)
Iteration 39:  log pseudolikelihood = -157.91913  (not concave)
Iteration 40:  log pseudolikelihood = -157.91815  (not concave)
Iteration 41:  log pseudolikelihood = -157.91716  (not concave)
Iteration 42:  log pseudolikelihood = -157.91617  (not concave)
Iteration 43:  log pseudolikelihood = -157.91518  (not concave)
Iteration 44:  log pseudolikelihood = -157.91419  (not concave)
Iteration 45:  log pseudolikelihood = -157.91319  (not concave)
Iteration 46:  log pseudolikelihood =  -157.9122  (not concave)
Iteration 47:  log pseudolikelihood =  -157.9112  (not concave)
Iteration 48:  log pseudolikelihood = -157.91019  (not concave)
Iteration 49:  log pseudolikelihood = -157.90919  (not concave)
Iteration 50:  log pseudolikelihood = -157.90818  (not concave)
Iteration 51:  log pseudolikelihood = -157.90717  (not concave)
Iteration 52:  log pseudolikelihood = -157.90616  (not concave)
Iteration 53:  log pseudolikelihood = -157.90514  (not concave)
Iteration 54:  log pseudolikelihood = -157.90412  (not concave)
Iteration 55:  log pseudolikelihood = -157.90309  (not concave)
Iteration 56:  log pseudolikelihood = -157.90207  (not concave)
Iteration 57:  log pseudolikelihood = -157.90104  (not concave)
Iteration 58:  log pseudolikelihood =     -157.9  (not concave)
Iteration 59:  log pseudolikelihood = -157.89896  (not concave)
Iteration 60:  log pseudolikelihood = -157.89792  (not concave)
Iteration 61:  log pseudolikelihood = -157.89688  (not concave)
Iteration 62:  log pseudolikelihood = -157.89583  (not concave)
Iteration 63:  log pseudolikelihood = -157.89477  (not concave)
Iteration 64:  log pseudolikelihood = -157.89371  (not concave)
Iteration 65:  log pseudolikelihood = -157.89265  (not concave)
Iteration 66:  log pseudolikelihood = -157.89159  (not concave)
Iteration 67:  log pseudolikelihood = -157.89052  (not concave)
Iteration 68:  log pseudolikelihood = -157.88944  (not concave)
Iteration 69:  log pseudolikelihood = -157.88836  (not concave)
Iteration 70:  log pseudolikelihood = -157.88728  (not concave)
Iteration 71:  log pseudolikelihood = -157.88619  (not concave)
Iteration 72:  log pseudolikelihood =  -157.8851  (not concave)
Iteration 73:  log pseudolikelihood =   -157.884  (not concave)
Iteration 74:  log pseudolikelihood =  -157.8829  (not concave)
Iteration 75:  log pseudolikelihood = -157.88179  (not concave)
Iteration 76:  log pseudolikelihood = -157.88068  (not concave)
Iteration 77:  log pseudolikelihood = -157.87957  (not concave)
Iteration 78:  log pseudolikelihood = -157.87845  (not concave)
Iteration 79:  log pseudolikelihood = -157.87732  (not concave)
Iteration 80:  log pseudolikelihood = -157.87619  (not concave)
Iteration 81:  log pseudolikelihood = -157.87505  (not concave)
Iteration 82:  log pseudolikelihood = -157.87391  (not concave)
Iteration 83:  log pseudolikelihood = -157.87277  (not concave)
Iteration 84:  log pseudolikelihood = -157.87162  (not concave)
Iteration 85:  log pseudolikelihood = -157.87046  (not concave)
Iteration 86:  log pseudolikelihood =  -157.8693  (not concave)
Iteration 87:  log pseudolikelihood = -157.86814  (not concave)
Iteration 88:  log pseudolikelihood = -157.86697  (not concave)
Iteration 89:  log pseudolikelihood = -157.86579  (not concave)
Iteration 90:  log pseudolikelihood = -157.86461  (not concave)
Iteration 91:  log pseudolikelihood = -157.86342  (not concave)
Iteration 92:  log pseudolikelihood = -157.86223  (not concave)
Iteration 93:  log pseudolikelihood = -157.86104  (not concave)
Iteration 94:  log pseudolikelihood = -157.85983  (not concave)
Iteration 95:  log pseudolikelihood = -157.85863  (not concave)
Iteration 96:  log pseudolikelihood = -157.85741  (not concave)
Iteration 97:  log pseudolikelihood = -157.85619  (not concave)
Iteration 98:  log pseudolikelihood = -157.85497  (not concave)
Iteration 99:  log pseudolikelihood = -157.85374  (not concave)
Iteration 100: log pseudolikelihood = -157.85251  (not concave)
Iteration 101: log pseudolikelihood = -157.85127  (not concave)
Iteration 102: log pseudolikelihood = -157.85002  (not concave)
Iteration 103: log pseudolikelihood = -157.84877  (not concave)
Iteration 104: log pseudolikelihood = -157.84751  (not concave)
Iteration 105: log pseudolikelihood = -157.84625  (not concave)
Iteration 106: log pseudolikelihood = -157.84498  (not concave)
Iteration 107: log pseudolikelihood = -157.84371  (not concave)
Iteration 108: log pseudolikelihood = -157.84243  (not concave)
Iteration 109: log pseudolikelihood = -157.84115  (not concave)
Iteration 110: log pseudolikelihood = -157.83985  (not concave)
Iteration 111: log pseudolikelihood = -157.83856  (not concave)
Iteration 112: log pseudolikelihood = -157.83726  (not concave)
Iteration 113: log pseudolikelihood = -157.83595  (not concave)
Iteration 114: log pseudolikelihood = -157.83464  (not concave)
Iteration 115: log pseudolikelihood = -157.83332  (not concave)
Iteration 116: log pseudolikelihood = -157.83199  (not concave)
Iteration 117: log pseudolikelihood = -157.83066  (not concave)
Iteration 118: log pseudolikelihood = -157.82933  (not concave)
Iteration 119: log pseudolikelihood = -157.82799  (not concave)
Iteration 120: log pseudolikelihood = -157.82664  (not concave)
Iteration 121: log pseudolikelihood = -157.82529  (not concave)
Iteration 122: log pseudolikelihood = -157.82393  (not concave)
Iteration 123: log pseudolikelihood = -157.82257  (not concave)
Iteration 124: log pseudolikelihood =  -157.8212  (not concave)
Iteration 125: log pseudolikelihood = -157.81982  (not concave)
Iteration 126: log pseudolikelihood = -157.81844  (not concave)
Iteration 127: log pseudolikelihood = -157.81705  (not concave)
Iteration 128: log pseudolikelihood = -157.81566  (not concave)
Iteration 129: log pseudolikelihood = -157.81426  (not concave)
Iteration 130: log pseudolikelihood = -157.81286  (not concave)
Iteration 131: log pseudolikelihood = -157.81145  (not concave)
Iteration 132: log pseudolikelihood = -157.81003  (not concave)
Iteration 133: log pseudolikelihood = -157.80861  (not concave)
Iteration 134: log pseudolikelihood = -157.80719  (not concave)
Iteration 135: log pseudolikelihood = -157.80575  (not concave)
Iteration 136: log pseudolikelihood = -157.80431  (not concave)
Iteration 137: log pseudolikelihood = -157.80287  (not concave)
Iteration 138: log pseudolikelihood = -157.80142  (not concave)
Iteration 139: log pseudolikelihood = -157.79997  (not concave)
Iteration 140: log pseudolikelihood = -157.79851  (not concave)
Iteration 141: log pseudolikelihood = -157.79704  (not concave)
Iteration 142: log pseudolikelihood = -157.79557  (not concave)
Iteration 143: log pseudolikelihood = -157.79409  (not concave)
Iteration 144: log pseudolikelihood = -157.79261  (not concave)
Iteration 145: log pseudolikelihood = -157.79112  (not concave)
Iteration 146: log pseudolikelihood = -157.78963  (not concave)
Iteration 147: log pseudolikelihood = -157.78813  (not concave)
Iteration 148: log pseudolikelihood = -157.78662  (not concave)
Iteration 149: log pseudolikelihood = -157.78511  (not concave)
Iteration 150: log pseudolikelihood =  -157.7836  (not concave)
Iteration 151: log pseudolikelihood = -157.78208  (not concave)
Iteration 152: log pseudolikelihood = -157.78055  (not concave)
Iteration 153: log pseudolikelihood = -157.77902  (not concave)
Iteration 154: log pseudolikelihood = -157.77748  (not concave)
Iteration 155: log pseudolikelihood = -157.77594  (not concave)
Iteration 156: log pseudolikelihood = -157.77439  (not concave)
Iteration 157: log pseudolikelihood = -157.77284  (not concave)
Iteration 158: log pseudolikelihood = -157.77128  (not concave)
Iteration 159: log pseudolikelihood = -157.76972  (not concave)
Iteration 160: log pseudolikelihood = -157.76815  (not concave)
Iteration 161: log pseudolikelihood = -157.76658  (not concave)
Iteration 162: log pseudolikelihood =   -157.765  (not concave)
Iteration 163: log pseudolikelihood = -157.76341  (not concave)
Iteration 164: log pseudolikelihood = -157.76182  (not concave)
Iteration 165: log pseudolikelihood = -157.76023  (not concave)
Iteration 166: log pseudolikelihood = -157.75863  (not concave)
Iteration 167: log pseudolikelihood = -157.75703  (not concave)
Iteration 168: log pseudolikelihood = -157.75542  (not concave)
Iteration 169: log pseudolikelihood = -157.75381  (not concave)
Iteration 170: log pseudolikelihood = -157.75219  (not concave)
Iteration 171: log pseudolikelihood = -157.75056  (not concave)
Iteration 172: log pseudolikelihood = -157.74894  (not concave)
Iteration 173: log pseudolikelihood =  -157.7473  (not concave)
Iteration 174: log pseudolikelihood = -157.74567  (not concave)
Iteration 175: log pseudolikelihood = -157.74402  (not concave)
Iteration 176: log pseudolikelihood = -157.74238  (not concave)
Iteration 177: log pseudolikelihood = -157.74073  (not concave)
Iteration 178: log pseudolikelihood = -157.73907  (not concave)
Iteration 179: log pseudolikelihood = -157.73741  (not concave)
Iteration 180: log pseudolikelihood = -157.73574  (not concave)
Iteration 181: log pseudolikelihood = -157.73408  (not concave)
Iteration 182: log pseudolikelihood =  -157.7324  (not concave)
Iteration 183: log pseudolikelihood = -157.73072  (not concave)
Iteration 184: log pseudolikelihood = -157.72904  (not concave)
Iteration 185: log pseudolikelihood = -157.72736  (not concave)
Iteration 186: log pseudolikelihood = -157.72566  (not concave)
Iteration 187: log pseudolikelihood = -157.72397  (not concave)
Iteration 188: log pseudolikelihood = -157.72227  (not concave)
Iteration 189: log pseudolikelihood = -157.72057  (not concave)
Iteration 190: log pseudolikelihood = -157.71886  (not concave)
Iteration 191: log pseudolikelihood = -157.71715  (not concave)
Iteration 192: log pseudolikelihood = -157.71544  (not concave)
Iteration 193: log pseudolikelihood = -157.71372  (not concave)
Iteration 194: log pseudolikelihood =   -157.712  (not concave)
Iteration 195: log pseudolikelihood = -157.71027  (not concave)
Iteration 196: log pseudolikelihood = -157.70854  (not concave)
Iteration 197: log pseudolikelihood = -157.70681  (not concave)
Iteration 198: log pseudolikelihood = -157.70507  (not concave)
Iteration 199: log pseudolikelihood = -157.70333  (not concave)
Iteration 200: log pseudolikelihood = -157.70158  (not concave)
Iteration 201: log pseudolikelihood = -157.69984  (not concave)
Iteration 202: log pseudolikelihood = -157.69809  (not concave)
Iteration 203: log pseudolikelihood = -157.69633  (not concave)
Iteration 204: log pseudolikelihood = -157.69458  (not concave)
Iteration 205: log pseudolikelihood = -157.69282  (not concave)
Iteration 206: log pseudolikelihood = -157.69105  (not concave)
Iteration 207: log pseudolikelihood = -157.68929  (not concave)
Iteration 208: log pseudolikelihood = -157.68751  (not concave)
Iteration 209: log pseudolikelihood = -157.68574  (not concave)
Iteration 210: log pseudolikelihood = -157.68397  (not concave)
Iteration 211: log pseudolikelihood = -157.68219  (not concave)
Iteration 212: log pseudolikelihood = -157.68041  (not concave)
Iteration 213: log pseudolikelihood = -157.67862  (not concave)
Iteration 214: log pseudolikelihood = -157.67684  (not concave)
Iteration 215: log pseudolikelihood = -157.67505  (not concave)
Iteration 216: log pseudolikelihood = -157.67325  (not concave)
Iteration 217: log pseudolikelihood = -157.67146  (not concave)
Iteration 218: log pseudolikelihood = -157.66966  (not concave)
Iteration 219: log pseudolikelihood = -157.66786  (not concave)
Iteration 220: log pseudolikelihood = -157.66606  (not concave)
Iteration 221: log pseudolikelihood = -157.66426  (not concave)
Iteration 222: log pseudolikelihood = -157.66245  (not concave)
Iteration 223: log pseudolikelihood = -157.66064  (not concave)
Iteration 224: log pseudolikelihood = -157.65883  (not concave)
Iteration 225: log pseudolikelihood = -157.65702  (not concave)
Iteration 226: log pseudolikelihood =  -157.6552  (not concave)
Iteration 227: log pseudolikelihood = -157.65339  (not concave)
Iteration 228: log pseudolikelihood = -157.65157  (not concave)
Iteration 229: log pseudolikelihood = -157.64975  (not concave)
Iteration 230: log pseudolikelihood = -157.64792  (not concave)
Iteration 231: log pseudolikelihood =  -157.6461  (not concave)
Iteration 232: log pseudolikelihood = -157.64427  (not concave)
Iteration 233: log pseudolikelihood = -157.64245  (not concave)
Iteration 234: log pseudolikelihood = -157.64062  (not concave)
Iteration 235: log pseudolikelihood = -157.63879  (not concave)
Iteration 236: log pseudolikelihood = -157.63696  (not concave)
Iteration 237: log pseudolikelihood = -157.63512  (not concave)
Iteration 238: log pseudolikelihood = -157.63329  (not concave)
Iteration 239: log pseudolikelihood = -157.63145  (not concave)
Iteration 240: log pseudolikelihood = -157.62962  (not concave)
Iteration 241: log pseudolikelihood = -157.62778  (not concave)
Iteration 242: log pseudolikelihood = -157.62594  (not concave)
Iteration 243: log pseudolikelihood =  -157.6241  (not concave)
Iteration 244: log pseudolikelihood = -157.62226  (not concave)
Iteration 245: log pseudolikelihood = -157.62042  (not concave)
Iteration 246: log pseudolikelihood = -157.61857  (not concave)
Iteration 247: log pseudolikelihood = -157.61673  (not concave)
Iteration 248: log pseudolikelihood = -157.61488  (not concave)
Iteration 249: log pseudolikelihood = -157.61304  (not concave)
Iteration 250: log pseudolikelihood = -157.61119  (not concave)
Iteration 251: log pseudolikelihood = -157.60935  (not concave)
Iteration 252: log pseudolikelihood =  -157.6075  (not concave)
Iteration 253: log pseudolikelihood = -157.60565  (not concave)
Iteration 254: log pseudolikelihood =  -157.6038  (not concave)
Iteration 255: log pseudolikelihood = -157.60196  (not concave)
Iteration 256: log pseudolikelihood = -157.60011  (not concave)
Iteration 257: log pseudolikelihood = -157.59826  (not concave)
Iteration 258: log pseudolikelihood = -157.59641  (not concave)
Iteration 259: log pseudolikelihood = -157.59456  (not concave)
Iteration 260: log pseudolikelihood = -157.59271  (not concave)
Iteration 261: log pseudolikelihood = -157.59086  (not concave)
Iteration 262: log pseudolikelihood = -157.58901  (not concave)
Iteration 263: log pseudolikelihood = -157.58716  (not concave)
Iteration 264: log pseudolikelihood = -157.58531  (not concave)
Iteration 265: log pseudolikelihood = -157.58346  (not concave)
Iteration 266: log pseudolikelihood = -157.58161  (not concave)
Iteration 267: log pseudolikelihood = -157.57977  (not concave)
Iteration 268: log pseudolikelihood = -157.57792  (not concave)
Iteration 269: log pseudolikelihood = -157.57607  (not concave)
Iteration 270: log pseudolikelihood = -157.57422  (not concave)
Iteration 271: log pseudolikelihood = -157.57237  (not concave)
Iteration 272: log pseudolikelihood = -157.57053  (not concave)
Iteration 273: log pseudolikelihood = -157.56868  (not concave)
Iteration 274: log pseudolikelihood = -157.56684  (not concave)
Iteration 275: log pseudolikelihood = -157.56499  (not concave)
Iteration 276: log pseudolikelihood = -157.56315  (not concave)
Iteration 277: log pseudolikelihood =  -157.5613  (not concave)
Iteration 278: log pseudolikelihood = -157.55946  (not concave)
Iteration 279: log pseudolikelihood = -157.55762  (not concave)
Iteration 280: log pseudolikelihood = -157.55578  (not concave)
Iteration 281: log pseudolikelihood = -157.55394  (not concave)
Iteration 282: log pseudolikelihood =  -157.5521  (not concave)
Iteration 283: log pseudolikelihood = -157.55026  (not concave)
Iteration 284: log pseudolikelihood = -157.54842  (not concave)
Iteration 285: log pseudolikelihood = -157.54659  (not concave)
Iteration 286: log pseudolikelihood = -157.54475  (not concave)
Iteration 287: log pseudolikelihood = -157.54292  (not concave)
Iteration 288: log pseudolikelihood = -157.54109  (not concave)
Iteration 289: log pseudolikelihood = -157.53925  (not concave)
Iteration 290: log pseudolikelihood = -157.53742  (not concave)
Iteration 291: log pseudolikelihood =  -157.5356  
Iteration 292: log pseudolikelihood = -157.49854  (not concave)
Iteration 293: log pseudolikelihood = -157.29775  (not concave)
Iteration 294: log pseudolikelihood = -157.22104  (not concave)
Iteration 295: log pseudolikelihood = -157.17246  (not concave)
Iteration 296: log pseudolikelihood = -157.14567  (not concave)
Iteration 297: log pseudolikelihood = -157.11789  (not concave)
Iteration 298: log pseudolikelihood = -157.00633  (not concave)
Iteration 299: log pseudolikelihood = -156.98358  (not concave)
Iteration 300: log pseudolikelihood = -156.96549  (not concave)
Iteration 301: log pseudolikelihood = -156.95143  (not concave)
Iteration 302: log pseudolikelihood = -156.94201  (not concave)
Iteration 303: log pseudolikelihood = -156.93197  (not concave)
Iteration 304: log pseudolikelihood = -156.92314  (not concave)
Iteration 305: log pseudolikelihood = -156.91609  (not concave)
Iteration 306: log pseudolikelihood = -156.90948  (not concave)
Iteration 307: log pseudolikelihood = -156.90439  (not concave)
Iteration 308: log pseudolikelihood = -156.89983  (not concave)
Iteration 309: log pseudolikelihood = -156.89576  (not concave)
Iteration 310: log pseudolikelihood = -156.89165  (not concave)
Iteration 311: log pseudolikelihood = -156.88785  (not concave)
Iteration 312: log pseudolikelihood = -156.88425  (not concave)
Iteration 313: log pseudolikelihood = -156.88073  (not concave)
Iteration 314: log pseudolikelihood = -156.87735  (not concave)
Iteration 315: log pseudolikelihood = -156.87411  (not concave)
Iteration 316: log pseudolikelihood = -156.87099  (not concave)
Iteration 317: log pseudolikelihood = -156.86797  (not concave)
Iteration 318: log pseudolikelihood = -156.86505  (not concave)
Iteration 319: log pseudolikelihood = -156.86224  (not concave)
Iteration 320: log pseudolikelihood = -156.85952  (not concave)
Iteration 321: log pseudolikelihood = -156.85689  (not concave)
Iteration 322: log pseudolikelihood = -156.85434  (not concave)
Iteration 323: log pseudolikelihood = -156.85187  (not concave)
Iteration 324: log pseudolikelihood = -156.84948  (not concave)
Iteration 325: log pseudolikelihood = -156.84716  (not concave)
Iteration 326: log pseudolikelihood =  -156.8449  (not concave)
Iteration 327: log pseudolikelihood = -156.84272  (not concave)
Iteration 328: log pseudolikelihood =  -156.8406  (not concave)
Iteration 329: log pseudolikelihood = -156.83854  (not concave)
Iteration 330: log pseudolikelihood = -156.83653  (not concave)
Iteration 331: log pseudolikelihood = -156.83458  (not concave)
Iteration 332: log pseudolikelihood = -156.83268  (not concave)
Iteration 333: log pseudolikelihood = -156.83084  (not concave)
Iteration 334: log pseudolikelihood = -156.82904  (not concave)
Iteration 335: log pseudolikelihood = -156.82729  (not concave)
Iteration 336: log pseudolikelihood = -156.82558  (not concave)
Iteration 337: log pseudolikelihood = -156.82392  (not concave)
Iteration 338: log pseudolikelihood =  -156.8223  (not concave)
Iteration 339: log pseudolikelihood = -156.82072  (not concave)
Iteration 340: log pseudolikelihood = -156.81917  (not concave)
Iteration 341: log pseudolikelihood = -156.81767  (not concave)
Iteration 342: log pseudolikelihood = -156.81619  (not concave)
Iteration 343: log pseudolikelihood = -156.81476  (not concave)
Iteration 344: log pseudolikelihood = -156.81335  (not concave)
Iteration 345: log pseudolikelihood = -156.81198  (not concave)
Iteration 346: log pseudolikelihood = -156.81064  (not concave)
Iteration 347: log pseudolikelihood = -156.80932  (not concave)
Iteration 348: log pseudolikelihood = -156.80804  (not concave)
Iteration 349: log pseudolikelihood = -156.80678  (not concave)
Iteration 350: log pseudolikelihood = -156.80555  (not concave)
Iteration 351: log pseudolikelihood = -156.80434  (not concave)
Iteration 352: log pseudolikelihood = -156.80316  (not concave)
Iteration 353: log pseudolikelihood =   -156.802  (not concave)
Iteration 354: log pseudolikelihood = -156.80087  (not concave)
Iteration 355: log pseudolikelihood = -156.79975  (not concave)
Iteration 356: log pseudolikelihood = -156.79866  (not concave)
Iteration 357: log pseudolikelihood = -156.79759  (not concave)
Iteration 358: log pseudolikelihood = -156.79653  (not concave)
Iteration 359: log pseudolikelihood =  -156.7955  (not concave)
Iteration 360: log pseudolikelihood = -156.79449  (not concave)
Iteration 361: log pseudolikelihood = -156.79349  (not concave)
Iteration 362: log pseudolikelihood = -156.79251  (not concave)
Iteration 363: log pseudolikelihood = -156.79154  (not concave)
Iteration 364: log pseudolikelihood = -156.79059  (not concave)
Iteration 365: log pseudolikelihood = -156.78966  (not concave)
Iteration 366: log pseudolikelihood = -156.78874  (not concave)
Iteration 367: log pseudolikelihood = -156.78784  (not concave)
Iteration 368: log pseudolikelihood = -156.78695  (not concave)
Iteration 369: log pseudolikelihood = -156.78607  (not concave)
Iteration 370: log pseudolikelihood =  -156.7852  (not concave)
Iteration 371: log pseudolikelihood = -156.78435  (not concave)
Iteration 372: log pseudolikelihood = -156.78351  (not concave)
Iteration 373: log pseudolikelihood = -156.78268  (not concave)
Iteration 374: log pseudolikelihood = -156.78186  (not concave)
Iteration 375: log pseudolikelihood = -156.78105  (not concave)
Iteration 376: log pseudolikelihood = -156.78026  (not concave)
Iteration 377: log pseudolikelihood = -156.77947  (not concave)
Iteration 378: log pseudolikelihood = -156.77869  (not concave)
Iteration 379: log pseudolikelihood = -156.77792  (not concave)
Iteration 380: log pseudolikelihood = -156.77716  (not concave)
Iteration 381: log pseudolikelihood = -156.77641  (not concave)
Iteration 382: log pseudolikelihood = -156.77566  (not concave)
Iteration 383: log pseudolikelihood = -156.77493  (not concave)
Iteration 384: log pseudolikelihood =  -156.7742  (not concave)
Iteration 385: log pseudolikelihood = -156.77348  (not concave)
Iteration 386: log pseudolikelihood = -156.77276  (not concave)
Iteration 387: log pseudolikelihood = -156.77205  (not concave)
Iteration 388: log pseudolikelihood = -156.77135  (not concave)
Iteration 389: log pseudolikelihood = -156.77065  (not concave)
Iteration 390: log pseudolikelihood = -156.76996  (not concave)
Iteration 391: log pseudolikelihood = -156.76928  (not concave)
Iteration 392: log pseudolikelihood =  -156.7686  (not concave)
Iteration 393: log pseudolikelihood = -156.76793  (not concave)
Iteration 394: log pseudolikelihood = -156.76726  (not concave)
Iteration 395: log pseudolikelihood = -156.76659  (not concave)
Iteration 396: log pseudolikelihood = -156.76593  (not concave)
Iteration 397: log pseudolikelihood = -156.76528  (not concave)
Iteration 398: log pseudolikelihood = -156.76462  (not concave)
Iteration 399: log pseudolikelihood = -156.76398  (not concave)
Iteration 400: log pseudolikelihood = -156.76333  (not concave)
Iteration 401: log pseudolikelihood = -156.76269  (not concave)
Iteration 402: log pseudolikelihood = -156.76205  (not concave)
Iteration 403: log pseudolikelihood = -156.76142  (not concave)
Iteration 404: log pseudolikelihood = -156.76079  (not concave)
Iteration 405: log pseudolikelihood = -156.76016  (not concave)
Iteration 406: log pseudolikelihood = -156.75953  (not concave)
Iteration 407: log pseudolikelihood = -156.75891  (not concave)
Iteration 408: log pseudolikelihood = -156.75828  (not concave)
Iteration 409: log pseudolikelihood = -156.75766  (not concave)
Iteration 410: log pseudolikelihood = -156.75705  (not concave)
Iteration 411: log pseudolikelihood = -156.75643  (not concave)
Iteration 412: log pseudolikelihood = -156.75582  (not concave)
Iteration 413: log pseudolikelihood =  -156.7552  (not concave)
Iteration 414: log pseudolikelihood = -156.75459  (not concave)
Iteration 415: log pseudolikelihood = -156.75398  (not concave)
Iteration 416: log pseudolikelihood = -156.75337  (not concave)
Iteration 417: log pseudolikelihood = -156.75277  (not concave)
Iteration 418: log pseudolikelihood = -156.75216  (not concave)
Iteration 419: log pseudolikelihood = -156.75155  (not concave)
Iteration 420: log pseudolikelihood = -156.75095  (not concave)
Iteration 421: log pseudolikelihood = -156.75034  (not concave)
Iteration 422: log pseudolikelihood = -156.74974  (not concave)
Iteration 423: log pseudolikelihood = -156.74913  (not concave)
Iteration 424: log pseudolikelihood = -156.74853  (not concave)
Iteration 425: log pseudolikelihood = -156.74793  (not concave)
Iteration 426: log pseudolikelihood = -156.74732  (not concave)
Iteration 427: log pseudolikelihood = -156.74672  (not concave)
Iteration 428: log pseudolikelihood = -156.74611  (not concave)
Iteration 429: log pseudolikelihood = -156.74551  (not concave)
Iteration 430: log pseudolikelihood =  -156.7449  (not concave)
Iteration 431: log pseudolikelihood =  -156.7443  (not concave)
Iteration 432: log pseudolikelihood = -156.74369  (not concave)
Iteration 433: log pseudolikelihood = -156.74309  (not concave)
Iteration 434: log pseudolikelihood = -156.74248  (not concave)
Iteration 435: log pseudolikelihood = -156.74187  (not concave)
Iteration 436: log pseudolikelihood = -156.74126  (not concave)
Iteration 437: log pseudolikelihood = -156.74065  (not concave)
Iteration 438: log pseudolikelihood = -156.74004  (not concave)
Iteration 439: log pseudolikelihood = -156.73943  (not concave)
Iteration 440: log pseudolikelihood = -156.73881  (not concave)
Iteration 441: log pseudolikelihood =  -156.7382  (not concave)
Iteration 442: log pseudolikelihood = -156.73758  (not concave)
Iteration 443: log pseudolikelihood = -156.73696  (not concave)
Iteration 444: log pseudolikelihood = -156.73634  (not concave)
Iteration 445: log pseudolikelihood = -156.73572  (not concave)
Iteration 446: log pseudolikelihood = -156.73509  (not concave)
Iteration 447: log pseudolikelihood = -156.73447  (not concave)
Iteration 448: log pseudolikelihood = -156.73384  (not concave)
Iteration 449: log pseudolikelihood = -156.73321  (not concave)
Iteration 450: log pseudolikelihood = -156.73258  (not concave)
Iteration 451: log pseudolikelihood = -156.73194  (not concave)
Iteration 452: log pseudolikelihood = -156.73131  (not concave)
Iteration 453: log pseudolikelihood = -156.73067  (not concave)
Iteration 454: log pseudolikelihood = -156.73003  (not concave)
Iteration 455: log pseudolikelihood = -156.72939  (not concave)
Iteration 456: log pseudolikelihood = -156.72874  (not concave)
Iteration 457: log pseudolikelihood = -156.72809  (not concave)
Iteration 458: log pseudolikelihood = -156.72744  (not concave)
Iteration 459: log pseudolikelihood = -156.72679  (not concave)
Iteration 460: log pseudolikelihood = -156.72613  (not concave)
Iteration 461: log pseudolikelihood = -156.72547  (not concave)
Iteration 462: log pseudolikelihood = -156.72481  (not concave)
Iteration 463: log pseudolikelihood = -156.72414  (not concave)
Iteration 464: log pseudolikelihood = -156.72347  (not concave)
Iteration 465: log pseudolikelihood =  -156.7228  (not concave)
Iteration 466: log pseudolikelihood = -156.72213  (not concave)
Iteration 467: log pseudolikelihood = -156.72145  (not concave)
Iteration 468: log pseudolikelihood = -156.72077  (not concave)
Iteration 469: log pseudolikelihood = -156.72009  (not concave)
Iteration 470: log pseudolikelihood =  -156.7194  (not concave)
Iteration 471: log pseudolikelihood = -156.71871  (not concave)
Iteration 472: log pseudolikelihood = -156.71801  (not concave)
Iteration 473: log pseudolikelihood = -156.71731  (not concave)
Iteration 474: log pseudolikelihood = -156.71661  (not concave)
Iteration 475: log pseudolikelihood = -156.71591  (not concave)
Iteration 476: log pseudolikelihood =  -156.7152  (not concave)
Iteration 477: log pseudolikelihood = -156.71448  (not concave)
Iteration 478: log pseudolikelihood = -156.71377  (not concave)
Iteration 479: log pseudolikelihood = -156.71305  (not concave)
Iteration 480: log pseudolikelihood = -156.71232  (not concave)
Iteration 481: log pseudolikelihood = -156.71159  (not concave)
Iteration 482: log pseudolikelihood = -156.71086  (not concave)
Iteration 483: log pseudolikelihood = -156.71012  (not concave)
Iteration 484: log pseudolikelihood = -156.70938  (not concave)
Iteration 485: log pseudolikelihood = -156.70864  (not concave)
Iteration 486: log pseudolikelihood = -156.70789  (not concave)
Iteration 487: log pseudolikelihood = -156.70713  (not concave)
Iteration 488: log pseudolikelihood = -156.70637  (not concave)
Iteration 489: log pseudolikelihood = -156.70561  (not concave)
Iteration 490: log pseudolikelihood = -156.70484  (not concave)
Iteration 491: log pseudolikelihood = -156.70407  (not concave)
Iteration 492: log pseudolikelihood =  -156.7033  (not concave)
Iteration 493: log pseudolikelihood = -156.70252  (not concave)
Iteration 494: log pseudolikelihood = -156.70173  (not concave)
Iteration 495: log pseudolikelihood = -156.70094  (not concave)
Iteration 496: log pseudolikelihood = -156.70014  (not concave)
Iteration 497: log pseudolikelihood = -156.69934  (not concave)
Iteration 498: log pseudolikelihood = -156.69854  (not concave)
Iteration 499: log pseudolikelihood = -156.69773  (not concave)
Iteration 500: log pseudolikelihood = -156.69691  (not concave)
Iteration 501: log pseudolikelihood =  -156.6961  (not concave)
Iteration 502: log pseudolikelihood = -156.69527  (not concave)
Iteration 503: log pseudolikelihood = -156.69444  (not concave)
Iteration 504: log pseudolikelihood = -156.69361  (not concave)
Iteration 505: log pseudolikelihood = -156.69277  (not concave)
Iteration 506: log pseudolikelihood = -156.69192  (not concave)
Iteration 507: log pseudolikelihood = -156.69107  (not concave)
Iteration 508: log pseudolikelihood = -156.69021  (not concave)
Iteration 509: log pseudolikelihood = -156.68935  (not concave)
Iteration 510: log pseudolikelihood = -156.68849  (not concave)
Iteration 511: log pseudolikelihood = -156.68761  (not concave)
Iteration 512: log pseudolikelihood = -156.68674  (not concave)
Iteration 513: log pseudolikelihood = -156.68585  (not concave)
Iteration 514: log pseudolikelihood = -156.68497  (not concave)
Iteration 515: log pseudolikelihood = -156.68407  (not concave)
Iteration 516: log pseudolikelihood = -156.68317  (not concave)
Iteration 517: log pseudolikelihood = -156.68227  (not concave)
Iteration 518: log pseudolikelihood = -156.68136  (not concave)
Iteration 519: log pseudolikelihood = -156.68044  (not concave)
Iteration 520: log pseudolikelihood = -156.67952  (not concave)
Iteration 521: log pseudolikelihood = -156.67859  (not concave)
Iteration 522: log pseudolikelihood = -156.67766  (not concave)
Iteration 523: log pseudolikelihood = -156.67672  (not concave)
Iteration 524: log pseudolikelihood = -156.67577  (not concave)
Iteration 525: log pseudolikelihood = -156.67482  (not concave)
Iteration 526: log pseudolikelihood = -156.67386  (not concave)
Iteration 527: log pseudolikelihood =  -156.6729  (not concave)
Iteration 528: log pseudolikelihood = -156.67193  (not concave)
Iteration 529: log pseudolikelihood = -156.67095  (not concave)
Iteration 530: log pseudolikelihood = -156.66997  (not concave)
Iteration 531: log pseudolikelihood = -156.66898  (not concave)
Iteration 532: log pseudolikelihood = -156.66799  (not concave)
Iteration 533: log pseudolikelihood = -156.66699  (not concave)
Iteration 534: log pseudolikelihood = -156.66598  (not concave)
Iteration 535: log pseudolikelihood = -156.66497  (not concave)
Iteration 536: log pseudolikelihood = -156.66395  (not concave)
Iteration 537: log pseudolikelihood = -156.66293  (not concave)
Iteration 538: log pseudolikelihood =  -156.6619  (not concave)
Iteration 539: log pseudolikelihood = -156.66086  (not concave)
Iteration 540: log pseudolikelihood = -156.65982  (not concave)
Iteration 541: log pseudolikelihood = -156.65877  (not concave)
Iteration 542: log pseudolikelihood = -156.65771  (not concave)
Iteration 543: log pseudolikelihood = -156.65665  (not concave)
Iteration 544: log pseudolikelihood = -156.65558  (not concave)
Iteration 545: log pseudolikelihood = -156.65451  (not concave)
Iteration 546: log pseudolikelihood = -156.65342  (not concave)
Iteration 547: log pseudolikelihood = -156.65234  (not concave)
Iteration 548: log pseudolikelihood = -156.65124  (not concave)
Iteration 549: log pseudolikelihood = -156.65014  (not concave)
Iteration 550: log pseudolikelihood = -156.64903  (not concave)
Iteration 551: log pseudolikelihood = -156.64792  (not concave)
Iteration 552: log pseudolikelihood =  -156.6468  (not concave)
Iteration 553: log pseudolikelihood = -156.64567  (not concave)
Iteration 554: log pseudolikelihood = -156.64454  (not concave)
Iteration 555: log pseudolikelihood =  -156.6434  (not concave)
Iteration 556: log pseudolikelihood = -156.64225  (not concave)
Iteration 557: log pseudolikelihood =  -156.6411  (not concave)
Iteration 558: log pseudolikelihood = -156.63994  (not concave)
Iteration 559: log pseudolikelihood = -156.63877  (not concave)
Iteration 560: log pseudolikelihood =  -156.6376  (not concave)
Iteration 561: log pseudolikelihood = -156.63642  (not concave)
Iteration 562: log pseudolikelihood = -156.63524  (not concave)
Iteration 563: log pseudolikelihood = -156.63404  (not concave)
Iteration 564: log pseudolikelihood = -156.63284  (not concave)
Iteration 565: log pseudolikelihood = -156.63164  (not concave)
Iteration 566: log pseudolikelihood = -156.63043  (not concave)
Iteration 567: log pseudolikelihood = -156.62921  (not concave)
Iteration 568: log pseudolikelihood = -156.62798  (not concave)
Iteration 569: log pseudolikelihood = -156.62675  (not concave)
Iteration 570: log pseudolikelihood = -156.62551  (not concave)
Iteration 571: log pseudolikelihood = -156.62427  (not concave)
Iteration 572: log pseudolikelihood = -156.62302  (not concave)
Iteration 573: log pseudolikelihood = -156.62176  (not concave)
Iteration 574: log pseudolikelihood = -156.62049  (not concave)
Iteration 575: log pseudolikelihood = -156.61922  (not concave)
Iteration 576: log pseudolikelihood = -156.61794  (not concave)
Iteration 577: log pseudolikelihood = -156.61666  (not concave)
Iteration 578: log pseudolikelihood = -156.61537  (not concave)
Iteration 579: log pseudolikelihood = -156.61407  (not concave)
Iteration 580: log pseudolikelihood = -156.61277  (not concave)
Iteration 581: log pseudolikelihood = -156.61146  (not concave)
Iteration 582: log pseudolikelihood = -156.61014  (not concave)
Iteration 583: log pseudolikelihood = -156.60882  (not concave)
Iteration 584: log pseudolikelihood = -156.60749  (not concave)
Iteration 585: log pseudolikelihood = -156.60615  (not concave)
Iteration 586: log pseudolikelihood = -156.60481  (not concave)
Iteration 587: log pseudolikelihood = -156.60346  (not concave)
Iteration 588: log pseudolikelihood = -156.60211  (not concave)
Iteration 589: log pseudolikelihood = -156.60075  (not concave)
Iteration 590: log pseudolikelihood = -156.59938  (not concave)
Iteration 591: log pseudolikelihood =   -156.598  (not concave)
Iteration 592: log pseudolikelihood = -156.59662  (not concave)
Iteration 593: log pseudolikelihood = -156.59524  (not concave)
Iteration 594: log pseudolikelihood = -156.59384  (not concave)
Iteration 595: log pseudolikelihood = -156.59245  (not concave)
Iteration 596: log pseudolikelihood = -156.59104  (not concave)
Iteration 597: log pseudolikelihood = -156.58963  (not concave)
Iteration 598: log pseudolikelihood = -156.58821  (not concave)
Iteration 599: log pseudolikelihood = -156.58679  (not concave)
Iteration 600: log pseudolikelihood = -156.58536  (not concave)
Iteration 601: log pseudolikelihood = -156.58393  (not concave)
Iteration 602: log pseudolikelihood = -156.58248  (not concave)
Iteration 603: log pseudolikelihood = -156.58104  (not concave)
Iteration 604: log pseudolikelihood = -156.57958  (not concave)
Iteration 605: log pseudolikelihood = -156.57812  (not concave)
Iteration 606: log pseudolikelihood = -156.57666  (not concave)
Iteration 607: log pseudolikelihood = -156.57519  (not concave)
Iteration 608: log pseudolikelihood = -156.57371  (not concave)
Iteration 609: log pseudolikelihood = -156.57223  (not concave)
Iteration 610: log pseudolikelihood = -156.57074  (not concave)
Iteration 611: log pseudolikelihood = -156.56925  (not concave)
Iteration 612: log pseudolikelihood = -156.56775  (not concave)
Iteration 613: log pseudolikelihood = -156.56624  (not concave)
Iteration 614: log pseudolikelihood = -156.56473  (not concave)
Iteration 615: log pseudolikelihood = -156.56322  (not concave)
Iteration 616: log pseudolikelihood =  -156.5617  (not concave)
Iteration 617: log pseudolikelihood = -156.56017  (not concave)
Iteration 618: log pseudolikelihood = -156.55864  (not concave)
Iteration 619: log pseudolikelihood =  -156.5571  (not concave)
Iteration 620: log pseudolikelihood = -156.55556  (not concave)
Iteration 621: log pseudolikelihood = -156.55401  (not concave)
Iteration 622: log pseudolikelihood = -156.55246  (not concave)
Iteration 623: log pseudolikelihood =  -156.5509  (not concave)
Iteration 624: log pseudolikelihood = -156.54934  (not concave)
Iteration 625: log pseudolikelihood = -156.54777  (not concave)
Iteration 626: log pseudolikelihood = -156.54619  (not concave)
Iteration 627: log pseudolikelihood = -156.54462  (not concave)
Iteration 628: log pseudolikelihood = -156.54303  (not concave)
Iteration 629: log pseudolikelihood = -156.54145  (not concave)
Iteration 630: log pseudolikelihood = -156.53985  (not concave)
Iteration 631: log pseudolikelihood = -156.53825  (not concave)
Iteration 632: log pseudolikelihood = -156.53665  (not concave)
Iteration 633: log pseudolikelihood = -156.53505  (not concave)
Iteration 634: log pseudolikelihood = -156.53343  (not concave)
Iteration 635: log pseudolikelihood = -156.53182  (not concave)
Iteration 636: log pseudolikelihood =  -156.5302  (not concave)
Iteration 637: log pseudolikelihood = -156.52857  (not concave)
Iteration 638: log pseudolikelihood = -156.52694  (not concave)
Iteration 639: log pseudolikelihood = -156.52531  (not concave)
Iteration 640: log pseudolikelihood = -156.52367  (not concave)
Iteration 641: log pseudolikelihood = -156.52203  (not concave)
Iteration 642: log pseudolikelihood = -156.52039  (not concave)
Iteration 643: log pseudolikelihood = -156.51874  (not concave)
Iteration 644: log pseudolikelihood = -156.51708  (not concave)
Iteration 645: log pseudolikelihood = -156.51542  (not concave)
Iteration 646: log pseudolikelihood = -156.51376  (not concave)
Iteration 647: log pseudolikelihood =  -156.5121  (not concave)
Iteration 648: log pseudolikelihood = -156.51043  (not concave)
Iteration 649: log pseudolikelihood = -156.50875  (not concave)
Iteration 650: log pseudolikelihood = -156.50708  (not concave)
Iteration 651: log pseudolikelihood =  -156.5054  (not concave)
Iteration 652: log pseudolikelihood = -156.50371  (not concave)
Iteration 653: log pseudolikelihood = -156.50203  (not concave)
Iteration 654: log pseudolikelihood = -156.50034  (not concave)
Iteration 655: log pseudolikelihood = -156.49864  (not concave)
Iteration 656: log pseudolikelihood = -156.49694  (not concave)
Iteration 657: log pseudolikelihood = -156.49524  (not concave)
Iteration 658: log pseudolikelihood = -156.49354  (not concave)
Iteration 659: log pseudolikelihood = -156.49183  (not concave)
Iteration 660: log pseudolikelihood = -156.49012  (not concave)
Iteration 661: log pseudolikelihood = -156.48841  (not concave)
Iteration 662: log pseudolikelihood = -156.48669  (not concave)
Iteration 663: log pseudolikelihood = -156.48498  (not concave)
Iteration 664: log pseudolikelihood = -156.48325  (not concave)
Iteration 665: log pseudolikelihood = -156.48153  (not concave)
Iteration 666: log pseudolikelihood =  -156.4798  (not concave)
Iteration 667: log pseudolikelihood = -156.47808  (not concave)
Iteration 668: log pseudolikelihood = -156.47634  (not concave)
Iteration 669: log pseudolikelihood = -156.47461  (not concave)
Iteration 670: log pseudolikelihood = -156.47287  (not concave)
Iteration 671: log pseudolikelihood = -156.47113  (not concave)
Iteration 672: log pseudolikelihood = -156.46939  (not concave)
Iteration 673: log pseudolikelihood = -156.46765  (not concave)
Iteration 674: log pseudolikelihood =  -156.4659  (not concave)
Iteration 675: log pseudolikelihood = -156.46416  (not concave)
Iteration 676: log pseudolikelihood = -156.46241  (not concave)
Iteration 677: log pseudolikelihood = -156.46065  (not concave)
Iteration 678: log pseudolikelihood =  -156.4589  (not concave)
Iteration 679: log pseudolikelihood = -156.45715  (not concave)
Iteration 680: log pseudolikelihood = -156.45539  (not concave)
Iteration 681: log pseudolikelihood = -156.45363  (not concave)
Iteration 682: log pseudolikelihood = -156.45187  (not concave)
Iteration 683: log pseudolikelihood = -156.45011  (not concave)
Iteration 684: log pseudolikelihood = -156.44834  (not concave)
Iteration 685: log pseudolikelihood = -156.44658  (not concave)
Iteration 686: log pseudolikelihood = -156.44481  (not concave)
Iteration 687: log pseudolikelihood = -156.44304  (not concave)
Iteration 688: log pseudolikelihood = -156.44127  (not concave)
Iteration 689: log pseudolikelihood = -156.43951  (not concave)
Iteration 690: log pseudolikelihood = -156.43773  (not concave)
Iteration 691: log pseudolikelihood = -156.43596  (not concave)
Iteration 692: log pseudolikelihood = -156.43419  (not concave)
Iteration 693: log pseudolikelihood = -156.43241  (not concave)
Iteration 694: log pseudolikelihood = -156.43064  (not concave)
Iteration 695: log pseudolikelihood = -156.42886  (not concave)
Iteration 696: log pseudolikelihood = -156.42709  (not concave)
Iteration 697: log pseudolikelihood = -156.42531  (not concave)
Iteration 698: log pseudolikelihood = -156.42353  (not concave)
Iteration 699: log pseudolikelihood = -156.42175  (not concave)
Iteration 700: log pseudolikelihood = -156.41997  (not concave)
Iteration 701: log pseudolikelihood = -156.41819  (not concave)
Iteration 702: log pseudolikelihood = -156.41641  (not concave)
Iteration 703: log pseudolikelihood = -156.41463  (not concave)
Iteration 704: log pseudolikelihood = -156.41285  (not concave)
Iteration 705: log pseudolikelihood = -156.41107  (not concave)
Iteration 706: log pseudolikelihood = -156.40929  (not concave)
Iteration 707: log pseudolikelihood = -156.40751  (not concave)
Iteration 708: log pseudolikelihood = -156.40572  (not concave)
Iteration 709: log pseudolikelihood = -156.40394  (not concave)
Iteration 710: log pseudolikelihood = -156.40216  (not concave)
Iteration 711: log pseudolikelihood = -156.40038  (not concave)
Iteration 712: log pseudolikelihood =  -156.3986  (not concave)
Iteration 713: log pseudolikelihood = -156.39682  (not concave)
Iteration 714: log pseudolikelihood = -156.39504  (not concave)
Iteration 715: log pseudolikelihood = -156.39326  (not concave)
Iteration 716: log pseudolikelihood = -156.39148  (not concave)
Iteration 717: log pseudolikelihood =  -156.3897  (not concave)
Iteration 718: log pseudolikelihood = -156.38792  (not concave)
Iteration 719: log pseudolikelihood = -156.38614  (not concave)
Iteration 720: log pseudolikelihood = -156.38436  (not concave)
Iteration 721: log pseudolikelihood = -156.38259  (not concave)
Iteration 722: log pseudolikelihood = -156.38081  (not concave)
Iteration 723: log pseudolikelihood = -156.37903  (not concave)
Iteration 724: log pseudolikelihood = -156.37726  (not concave)
Iteration 725: log pseudolikelihood = -156.37548  (not concave)
Iteration 726: log pseudolikelihood = -156.37371  (not concave)
Iteration 727: log pseudolikelihood = -156.37194  (not concave)
Iteration 728: log pseudolikelihood = -156.37016  (not concave)
Iteration 729: log pseudolikelihood =  -156.3684  (not concave)
Iteration 730: log pseudolikelihood = -156.36662  (not concave)
Iteration 731: log pseudolikelihood = -156.36486  (not concave)
Iteration 732: log pseudolikelihood = -156.36309  (not concave)
Iteration 733: log pseudolikelihood = -156.36132  (not concave)
Iteration 734: log pseudolikelihood = -156.35956  (not concave)
Iteration 735: log pseudolikelihood =  -156.3578  (not concave)
Iteration 736: log pseudolikelihood = -156.35603  (not concave)
Iteration 737: log pseudolikelihood = -156.35427  (not concave)
Iteration 738: log pseudolikelihood = -156.35251  (not concave)
Iteration 739: log pseudolikelihood = -156.35076  (not concave)
Iteration 740: log pseudolikelihood =   -156.349  (not concave)
Iteration 741: log pseudolikelihood = -156.34725  
Iteration 742: log pseudolikelihood = -155.83922  (backed up)
Iteration 743: log pseudolikelihood = -155.72392  
Iteration 744: log pseudolikelihood = -155.72068  
Iteration 745: log pseudolikelihood = -155.72059  
Iteration 746: log pseudolikelihood = -155.72059  

                                                Number of obs     =      4,952
                                                Wald chi2(13)     =      54.06
Log pseudolikelihood = -155.72059               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 139 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   8.129919   8.173704     0.99   0.320    -7.890247    24.15008
     capcheither20 |   2.221736   .8965188     2.48   0.013     .4645913     3.97888
   regchangeeither |   2.649642   1.964466     1.35   0.177    -1.200639    6.499924
      chTEAltorBmt |  -.7994873   1.522688    -0.53   0.600      -3.7839    2.184925
           alformA |    3.01207   1.331161     2.26   0.024     .4030435    5.621097
             demdA |   .5371895   2.158592     0.25   0.803    -3.693573    4.767953
         asymmetry |  -1.889835   .7641291    -2.47   0.013    -3.387501     -.39217
          nomicoop |  -2.572629   3.065043    -0.84   0.401    -8.580002    3.434745
            treaty |   .4069232   2.731513     0.15   0.882    -4.946743    5.760589
           milinst |   6.618187   2.171834     3.05   0.002     2.361472     10.8749
              time |  -.0519024   .3683799    -0.14   0.888    -.7739136    .6701089
        timesquare |  -.0028926   .0137801    -0.21   0.834    -.0299012    .0241159
          timecube |   .0000837    .000155     0.54   0.589      -.00022    .0003874
             _cons |  -2.894564    1.87286    -1.55   0.122    -6.565302    .7761741
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat2 |   7.096847   2.101691     3.38   0.001     2.977608    11.21609
num_dems_on_border |  -.0883756   .2433097    -0.36   0.716    -.5652538    .3885026
       num_borders |   .0081639   .1243334     0.07   0.948    -.2355252     .251853
           coldwar |    2.14304   1.013666     2.11   0.035     .1562908    4.129789
       Lenergy_pop |  -.1719786   .0975616    -1.76   0.078    -.3631959    .0192387
           Oil_exp |   1.342586   .5469969     2.45   0.014     .2704922     2.41468
           maj_pow |  -.1497675   .8906895    -0.17   0.866    -1.895487    1.595952
         kgd_rival |  -.2065454   .4653346    -0.44   0.657    -1.118584    .7054937
             _cons |  -6.645172   1.251149    -5.31   0.000    -9.097379   -4.192964
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -292.33065
rescale:       log pseudolikelihood = -184.02469
rescale eq:    log pseudolikelihood = -184.02469

initial:       log pseudolikelihood = -184.02469
rescale:       log pseudolikelihood = -184.02469
rescale eq:    log pseudolikelihood = -184.02469
Iteration 0:   log pseudolikelihood = -184.02469  
Iteration 1:   log pseudolikelihood = -165.78745  (not concave)
Iteration 2:   log pseudolikelihood =  -163.8984  
Iteration 3:   log pseudolikelihood = -161.82053  
Iteration 4:   log pseudolikelihood = -160.51252  
Iteration 5:   log pseudolikelihood = -159.77664  
Iteration 6:   log pseudolikelihood =  -158.9414  (not concave)
Iteration 7:   log pseudolikelihood = -158.92641  (not concave)
Iteration 8:   log pseudolikelihood = -158.91295  (not concave)
Iteration 9:   log pseudolikelihood = -158.90638  (not concave)
Iteration 10:  log pseudolikelihood = -158.90383  (not concave)
Iteration 11:  log pseudolikelihood = -158.90196  (not concave)
Iteration 12:  log pseudolikelihood = -158.90015  (not concave)
Iteration 13:  log pseudolikelihood = -158.88168  (not concave)
Iteration 14:  log pseudolikelihood = -158.87845  (not concave)
Iteration 15:  log pseudolikelihood = -158.87627  (not concave)
Iteration 16:  log pseudolikelihood = -158.87444  (not concave)
Iteration 17:  log pseudolikelihood =  -158.8728  (not concave)
Iteration 18:  log pseudolikelihood = -158.87142  (not concave)
Iteration 19:  log pseudolikelihood = -158.87016  (not concave)
Iteration 20:  log pseudolikelihood = -158.86901  (not concave)
Iteration 21:  log pseudolikelihood = -158.86794  (not concave)
Iteration 22:  log pseudolikelihood = -158.86693  (not concave)
Iteration 23:  log pseudolikelihood = -158.86596  (not concave)
Iteration 24:  log pseudolikelihood = -158.86504  (not concave)
Iteration 25:  log pseudolikelihood = -158.86416  (not concave)
Iteration 26:  log pseudolikelihood =  -158.8633  (not concave)
Iteration 27:  log pseudolikelihood = -158.86246  (not concave)
Iteration 28:  log pseudolikelihood = -158.86164  (not concave)
Iteration 29:  log pseudolikelihood = -158.86084  (not concave)
Iteration 30:  log pseudolikelihood = -158.86005  (not concave)
Iteration 31:  log pseudolikelihood = -158.85927  (not concave)
Iteration 32:  log pseudolikelihood =  -158.8585  (not concave)
Iteration 33:  log pseudolikelihood = -158.85774  (not concave)
Iteration 34:  log pseudolikelihood = -158.85698  (not concave)
Iteration 35:  log pseudolikelihood = -158.85623  (not concave)
Iteration 36:  log pseudolikelihood = -158.85549  (not concave)
Iteration 37:  log pseudolikelihood = -158.85474  (not concave)
Iteration 38:  log pseudolikelihood =   -158.854  (not concave)
Iteration 39:  log pseudolikelihood = -158.85326  (not concave)
Iteration 40:  log pseudolikelihood = -158.85253  (not concave)
Iteration 41:  log pseudolikelihood = -158.85179  (not concave)
Iteration 42:  log pseudolikelihood = -158.85105  (not concave)
Iteration 43:  log pseudolikelihood = -158.85032  (not concave)
Iteration 44:  log pseudolikelihood = -158.84958  (not concave)
Iteration 45:  log pseudolikelihood = -158.84884  (not concave)
Iteration 46:  log pseudolikelihood =  -158.8481  (not concave)
Iteration 47:  log pseudolikelihood = -158.84736  (not concave)
Iteration 48:  log pseudolikelihood = -158.84662  (not concave)
Iteration 49:  log pseudolikelihood = -158.84588  (not concave)
Iteration 50:  log pseudolikelihood = -158.84513  (not concave)
Iteration 51:  log pseudolikelihood = -158.84439  (not concave)
Iteration 52:  log pseudolikelihood = -158.84364  (not concave)
Iteration 53:  log pseudolikelihood = -158.84289  (not concave)
Iteration 54:  log pseudolikelihood = -158.84214  (not concave)
Iteration 55:  log pseudolikelihood = -158.84138  (not concave)
Iteration 56:  log pseudolikelihood = -158.84062  (not concave)
Iteration 57:  log pseudolikelihood = -158.83986  (not concave)
Iteration 58:  log pseudolikelihood =  -158.8391  (not concave)
Iteration 59:  log pseudolikelihood = -158.83834  (not concave)
Iteration 60:  log pseudolikelihood = -158.83757  (not concave)
Iteration 61:  log pseudolikelihood =  -158.8368  (not concave)
Iteration 62:  log pseudolikelihood = -158.83603  (not concave)
Iteration 63:  log pseudolikelihood = -158.83525  (not concave)
Iteration 64:  log pseudolikelihood = -158.83447  (not concave)
Iteration 65:  log pseudolikelihood = -158.83369  (not concave)
Iteration 66:  log pseudolikelihood = -158.83291  (not concave)
Iteration 67:  log pseudolikelihood = -158.83212  (not concave)
Iteration 68:  log pseudolikelihood = -158.83133  (not concave)
Iteration 69:  log pseudolikelihood = -158.83054  (not concave)
Iteration 70:  log pseudolikelihood = -158.82974  (not concave)
Iteration 71:  log pseudolikelihood = -158.82894  (not concave)
Iteration 72:  log pseudolikelihood = -158.82814  (not concave)
Iteration 73:  log pseudolikelihood = -158.82733  (not concave)
Iteration 74:  log pseudolikelihood = -158.82652  (not concave)
Iteration 75:  log pseudolikelihood = -158.82571  (not concave)
Iteration 76:  log pseudolikelihood = -158.82489  (not concave)
Iteration 77:  log pseudolikelihood = -158.82407  (not concave)
Iteration 78:  log pseudolikelihood = -158.82325  (not concave)
Iteration 79:  log pseudolikelihood = -158.82243  (not concave)
Iteration 80:  log pseudolikelihood =  -158.8216  (not concave)
Iteration 81:  log pseudolikelihood = -158.82076  (not concave)
Iteration 82:  log pseudolikelihood = -158.81993  (not concave)
Iteration 83:  log pseudolikelihood = -158.81909  (not concave)
Iteration 84:  log pseudolikelihood = -158.81824  (not concave)
Iteration 85:  log pseudolikelihood =  -158.8174  (not concave)
Iteration 86:  log pseudolikelihood = -158.81655  (not concave)
Iteration 87:  log pseudolikelihood = -158.81569  (not concave)
Iteration 88:  log pseudolikelihood = -158.81483  (not concave)
Iteration 89:  log pseudolikelihood = -158.81397  (not concave)
Iteration 90:  log pseudolikelihood = -158.81311  (not concave)
Iteration 91:  log pseudolikelihood = -158.81224  (not concave)
Iteration 92:  log pseudolikelihood = -158.81137  (not concave)
Iteration 93:  log pseudolikelihood = -158.81049  (not concave)
Iteration 94:  log pseudolikelihood = -158.80961  (not concave)
Iteration 95:  log pseudolikelihood = -158.80872  (not concave)
Iteration 96:  log pseudolikelihood = -158.80784  (not concave)
Iteration 97:  log pseudolikelihood = -158.80694  (not concave)
Iteration 98:  log pseudolikelihood = -158.80605  (not concave)
Iteration 99:  log pseudolikelihood = -158.80515  (not concave)
Iteration 100: log pseudolikelihood = -158.80424  (not concave)
Iteration 101: log pseudolikelihood = -158.80333  (not concave)
Iteration 102: log pseudolikelihood = -158.80242  (not concave)
Iteration 103: log pseudolikelihood = -158.80151  (not concave)
Iteration 104: log pseudolikelihood = -158.80058  (not concave)
Iteration 105: log pseudolikelihood = -158.79966  (not concave)
Iteration 106: log pseudolikelihood = -158.79873  (not concave)
Iteration 107: log pseudolikelihood =  -158.7978  (not concave)
Iteration 108: log pseudolikelihood = -158.79686  (not concave)
Iteration 109: log pseudolikelihood = -158.79592  (not concave)
Iteration 110: log pseudolikelihood = -158.79497  (not concave)
Iteration 111: log pseudolikelihood = -158.79402  (not concave)
Iteration 112: log pseudolikelihood = -158.79307  (not concave)
Iteration 113: log pseudolikelihood = -158.79211  (not concave)
Iteration 114: log pseudolikelihood = -158.79114  (not concave)
Iteration 115: log pseudolikelihood = -158.79018  (not concave)
Iteration 116: log pseudolikelihood =  -158.7892  (not concave)
Iteration 117: log pseudolikelihood = -158.78823  (not concave)
Iteration 118: log pseudolikelihood = -158.78724  (not concave)
Iteration 119: log pseudolikelihood = -158.78626  (not concave)
Iteration 120: log pseudolikelihood = -158.78527  (not concave)
Iteration 121: log pseudolikelihood = -158.78427  (not concave)
Iteration 122: log pseudolikelihood = -158.78327  (not concave)
Iteration 123: log pseudolikelihood = -158.78227  (not concave)
Iteration 124: log pseudolikelihood = -158.78125  (not concave)
Iteration 125: log pseudolikelihood = -158.78024  (not concave)
Iteration 126: log pseudolikelihood = -158.77922  (not concave)
Iteration 127: log pseudolikelihood =  -158.7782  (not concave)
Iteration 128: log pseudolikelihood = -158.77717  (not concave)
Iteration 129: log pseudolikelihood = -158.77613  (not concave)
Iteration 130: log pseudolikelihood = -158.77509  (not concave)
Iteration 131: log pseudolikelihood = -158.77405  (not concave)
Iteration 132: log pseudolikelihood =   -158.773  (not concave)
Iteration 133: log pseudolikelihood = -158.77195  (not concave)
Iteration 134: log pseudolikelihood = -158.77089  (not concave)
Iteration 135: log pseudolikelihood = -158.76982  (not concave)
Iteration 136: log pseudolikelihood = -158.76875  (not concave)
Iteration 137: log pseudolikelihood = -158.76768  (not concave)
Iteration 138: log pseudolikelihood =  -158.7666  (not concave)
Iteration 139: log pseudolikelihood = -158.76551  (not concave)
Iteration 140: log pseudolikelihood = -158.76442  (not concave)
Iteration 141: log pseudolikelihood = -158.76333  (not concave)
Iteration 142: log pseudolikelihood = -158.76223  (not concave)
Iteration 143: log pseudolikelihood = -158.76112  (not concave)
Iteration 144: log pseudolikelihood = -158.76001  (not concave)
Iteration 145: log pseudolikelihood = -158.75889  (not concave)
Iteration 146: log pseudolikelihood = -158.75777  (not concave)
Iteration 147: log pseudolikelihood = -158.75664  (not concave)
Iteration 148: log pseudolikelihood = -158.75551  (not concave)
Iteration 149: log pseudolikelihood = -158.75437  (not concave)
Iteration 150: log pseudolikelihood = -158.75322  (not concave)
Iteration 151: log pseudolikelihood = -158.75207  (not concave)
Iteration 152: log pseudolikelihood = -158.75092  (not concave)
Iteration 153: log pseudolikelihood = -158.74976  (not concave)
Iteration 154: log pseudolikelihood = -158.74859  (not concave)
Iteration 155: log pseudolikelihood = -158.74742  (not concave)
Iteration 156: log pseudolikelihood = -158.74624  (not concave)
Iteration 157: log pseudolikelihood = -158.74505  (not concave)
Iteration 158: log pseudolikelihood = -158.74386  (not concave)
Iteration 159: log pseudolikelihood = -158.74267  (not concave)
Iteration 160: log pseudolikelihood = -158.74147  (not concave)
Iteration 161: log pseudolikelihood = -158.74026  (not concave)
Iteration 162: log pseudolikelihood = -158.73904  (not concave)
Iteration 163: log pseudolikelihood = -158.73783  (not concave)
Iteration 164: log pseudolikelihood =  -158.7366  (not concave)
Iteration 165: log pseudolikelihood = -158.73537  (not concave)
Iteration 166: log pseudolikelihood = -158.73413  (not concave)
Iteration 167: log pseudolikelihood = -158.73289  (not concave)
Iteration 168: log pseudolikelihood = -158.73164  (not concave)
Iteration 169: log pseudolikelihood = -158.73038  (not concave)
Iteration 170: log pseudolikelihood = -158.72912  (not concave)
Iteration 171: log pseudolikelihood = -158.72785  (not concave)
Iteration 172: log pseudolikelihood = -158.72658  (not concave)
Iteration 173: log pseudolikelihood =  -158.7253  (not concave)
Iteration 174: log pseudolikelihood = -158.72401  (not concave)
Iteration 175: log pseudolikelihood = -158.72272  (not concave)
Iteration 176: log pseudolikelihood = -158.72142  (not concave)
Iteration 177: log pseudolikelihood = -158.72011  (not concave)
Iteration 178: log pseudolikelihood =  -158.7188  (not concave)
Iteration 179: log pseudolikelihood = -158.71748  (not concave)
Iteration 180: log pseudolikelihood = -158.71616  (not concave)
Iteration 181: log pseudolikelihood = -158.71483  (not concave)
Iteration 182: log pseudolikelihood = -158.71349  (not concave)
Iteration 183: log pseudolikelihood = -158.71215  (not concave)
Iteration 184: log pseudolikelihood =  -158.7108  (not concave)
Iteration 185: log pseudolikelihood = -158.70944  (not concave)
Iteration 186: log pseudolikelihood = -158.70808  (not concave)
Iteration 187: log pseudolikelihood = -158.70671  (not concave)
Iteration 188: log pseudolikelihood = -158.70533  (not concave)
Iteration 189: log pseudolikelihood = -158.70395  (not concave)
Iteration 190: log pseudolikelihood = -158.70256  (not concave)
Iteration 191: log pseudolikelihood = -158.70116  (not concave)
Iteration 192: log pseudolikelihood = -158.69976  (not concave)
Iteration 193: log pseudolikelihood = -158.69835  (not concave)
Iteration 194: log pseudolikelihood = -158.69694  (not concave)
Iteration 195: log pseudolikelihood = -158.69551  (not concave)
Iteration 196: log pseudolikelihood = -158.69408  (not concave)
Iteration 197: log pseudolikelihood = -158.69265  (not concave)
Iteration 198: log pseudolikelihood = -158.69121  (not concave)
Iteration 199: log pseudolikelihood = -158.68976  (not concave)
Iteration 200: log pseudolikelihood =  -158.6883  (not concave)
Iteration 201: log pseudolikelihood = -158.68684  (not concave)
Iteration 202: log pseudolikelihood = -158.68537  (not concave)
Iteration 203: log pseudolikelihood = -158.68389  (not concave)
Iteration 204: log pseudolikelihood = -158.68241  (not concave)
Iteration 205: log pseudolikelihood = -158.68092  (not concave)
Iteration 206: log pseudolikelihood = -158.67942  (not concave)
Iteration 207: log pseudolikelihood = -158.67792  (not concave)
Iteration 208: log pseudolikelihood = -158.67641  (not concave)
Iteration 209: log pseudolikelihood = -158.67489  (not concave)
Iteration 210: log pseudolikelihood = -158.67337  (not concave)
Iteration 211: log pseudolikelihood = -158.67184  (not concave)
Iteration 212: log pseudolikelihood =  -158.6703  (not concave)
Iteration 213: log pseudolikelihood = -158.66876  (not concave)
Iteration 214: log pseudolikelihood =  -158.6672  (not concave)
Iteration 215: log pseudolikelihood = -158.66565  (not concave)
Iteration 216: log pseudolikelihood = -158.66408  (not concave)
Iteration 217: log pseudolikelihood = -158.66251  (not concave)
Iteration 218: log pseudolikelihood = -158.66093  (not concave)
Iteration 219: log pseudolikelihood = -158.65934  (not concave)
Iteration 220: log pseudolikelihood = -158.65775  (not concave)
Iteration 221: log pseudolikelihood = -158.65615  (not concave)
Iteration 222: log pseudolikelihood = -158.65455  (not concave)
Iteration 223: log pseudolikelihood = -158.65293  (not concave)
Iteration 224: log pseudolikelihood = -158.65131  (not concave)
Iteration 225: log pseudolikelihood = -158.64969  (not concave)
Iteration 226: log pseudolikelihood = -158.64805  (not concave)
Iteration 227: log pseudolikelihood = -158.64641  (not concave)
Iteration 228: log pseudolikelihood = -158.64477  (not concave)
Iteration 229: log pseudolikelihood = -158.64311  (not concave)
Iteration 230: log pseudolikelihood = -158.64145  (not concave)
Iteration 231: log pseudolikelihood = -158.63979  (not concave)
Iteration 232: log pseudolikelihood = -158.63811  (not concave)
Iteration 233: log pseudolikelihood = -158.63643  (not concave)
Iteration 234: log pseudolikelihood = -158.63474  (not concave)
Iteration 235: log pseudolikelihood = -158.63305  (not concave)
Iteration 236: log pseudolikelihood = -158.63135  (not concave)
Iteration 237: log pseudolikelihood = -158.62964  (not concave)
Iteration 238: log pseudolikelihood = -158.62793  (not concave)
Iteration 239: log pseudolikelihood =  -158.6262  (not concave)
Iteration 240: log pseudolikelihood = -158.62448  (not concave)
Iteration 241: log pseudolikelihood = -158.62274  (not concave)
Iteration 242: log pseudolikelihood =   -158.621  (not concave)
Iteration 243: log pseudolikelihood = -158.61925  (not concave)
Iteration 244: log pseudolikelihood =  -158.6175  (not concave)
Iteration 245: log pseudolikelihood = -158.61574  (not concave)
Iteration 246: log pseudolikelihood = -158.61397  (not concave)
Iteration 247: log pseudolikelihood =  -158.6122  (not concave)
Iteration 248: log pseudolikelihood = -158.61042  (not concave)
Iteration 249: log pseudolikelihood = -158.60863  (not concave)
Iteration 250: log pseudolikelihood = -158.60684  (not concave)
Iteration 251: log pseudolikelihood = -158.60504  (not concave)
Iteration 252: log pseudolikelihood = -158.60323  (not concave)
Iteration 253: log pseudolikelihood = -158.60142  (not concave)
Iteration 254: log pseudolikelihood =  -158.5996  (not concave)
Iteration 255: log pseudolikelihood = -158.59778  (not concave)
Iteration 256: log pseudolikelihood = -158.59595  (not concave)
Iteration 257: log pseudolikelihood = -158.59411  (not concave)
Iteration 258: log pseudolikelihood = -158.59227  (not concave)
Iteration 259: log pseudolikelihood = -158.59042  (not concave)
Iteration 260: log pseudolikelihood = -158.58857  (not concave)
Iteration 261: log pseudolikelihood = -158.58671  (not concave)
Iteration 262: log pseudolikelihood = -158.58484  (not concave)
Iteration 263: log pseudolikelihood = -158.58297  (not concave)
Iteration 264: log pseudolikelihood = -158.58109  (not concave)
Iteration 265: log pseudolikelihood =  -158.5792  (not concave)
Iteration 266: log pseudolikelihood = -158.57731  (not concave)
Iteration 267: log pseudolikelihood = -158.57542  (not concave)
Iteration 268: log pseudolikelihood = -158.57351  (not concave)
Iteration 269: log pseudolikelihood = -158.57161  (not concave)
Iteration 270: log pseudolikelihood = -158.56969  (not concave)
Iteration 271: log pseudolikelihood = -158.56777  (not concave)
Iteration 272: log pseudolikelihood = -158.56585  (not concave)
Iteration 273: log pseudolikelihood = -158.56392  (not concave)
Iteration 274: log pseudolikelihood = -158.56198  (not concave)
Iteration 275: log pseudolikelihood = -158.56004  (not concave)
Iteration 276: log pseudolikelihood =  -158.5581  (not concave)
Iteration 277: log pseudolikelihood = -158.55615  (not concave)
Iteration 278: log pseudolikelihood = -158.55419  (not concave)
Iteration 279: log pseudolikelihood = -158.55223  (not concave)
Iteration 280: log pseudolikelihood = -158.55026  (not concave)
Iteration 281: log pseudolikelihood = -158.54829  (not concave)
Iteration 282: log pseudolikelihood = -158.54631  (not concave)
Iteration 283: log pseudolikelihood = -158.54433  (not concave)
Iteration 284: log pseudolikelihood = -158.54235  (not concave)
Iteration 285: log pseudolikelihood = -158.54035  (not concave)
Iteration 286: log pseudolikelihood = -158.53836  (not concave)
Iteration 287: log pseudolikelihood = -158.53636  (not concave)
Iteration 288: log pseudolikelihood = -158.53435  (not concave)
Iteration 289: log pseudolikelihood = -158.53234  (not concave)
Iteration 290: log pseudolikelihood = -158.53033  (not concave)
Iteration 291: log pseudolikelihood = -158.52831  (not concave)
Iteration 292: log pseudolikelihood = -158.52629  (not concave)
Iteration 293: log pseudolikelihood = -158.52426  (not concave)
Iteration 294: log pseudolikelihood = -158.52223  (not concave)
Iteration 295: log pseudolikelihood = -158.52019  (not concave)
Iteration 296: log pseudolikelihood = -158.51815  (not concave)
Iteration 297: log pseudolikelihood = -158.51611  (not concave)
Iteration 298: log pseudolikelihood = -158.51406  (not concave)
Iteration 299: log pseudolikelihood = -158.51201  (not concave)
Iteration 300: log pseudolikelihood = -158.50995  (not concave)
Iteration 301: log pseudolikelihood = -158.50789  (not concave)
Iteration 302: log pseudolikelihood = -158.50583  (not concave)
Iteration 303: log pseudolikelihood = -158.50376  (not concave)
Iteration 304: log pseudolikelihood = -158.50169  (not concave)
Iteration 305: log pseudolikelihood = -158.49962  (not concave)
Iteration 306: log pseudolikelihood = -158.49754  (not concave)
Iteration 307: log pseudolikelihood = -158.49546  (not concave)
Iteration 308: log pseudolikelihood = -158.49338  (not concave)
Iteration 309: log pseudolikelihood = -158.49129  (not concave)
Iteration 310: log pseudolikelihood =  -158.4892  (not concave)
Iteration 311: log pseudolikelihood = -158.48711  (not concave)
Iteration 312: log pseudolikelihood = -158.48501  (not concave)
Iteration 313: log pseudolikelihood = -158.48291  (not concave)
Iteration 314: log pseudolikelihood = -158.48081  (not concave)
Iteration 315: log pseudolikelihood = -158.47871  (not concave)
Iteration 316: log pseudolikelihood =  -158.4766  (not concave)
Iteration 317: log pseudolikelihood = -158.47449  (not concave)
Iteration 318: log pseudolikelihood = -158.47238  (not concave)
Iteration 319: log pseudolikelihood = -158.47026  (not concave)
Iteration 320: log pseudolikelihood = -158.46814  (not concave)
Iteration 321: log pseudolikelihood = -158.46603  (not concave)
Iteration 322: log pseudolikelihood =  -158.4639  (not concave)
Iteration 323: log pseudolikelihood = -158.46178  (not concave)
Iteration 324: log pseudolikelihood = -158.45965  (not concave)
Iteration 325: log pseudolikelihood = -158.45753  (not concave)
Iteration 326: log pseudolikelihood = -158.45539  (not concave)
Iteration 327: log pseudolikelihood = -158.45326  (not concave)
Iteration 328: log pseudolikelihood = -158.45113  (not concave)
Iteration 329: log pseudolikelihood = -158.44899  (not concave)
Iteration 330: log pseudolikelihood = -158.44686  (not concave)
Iteration 331: log pseudolikelihood = -158.44472  (not concave)
Iteration 332: log pseudolikelihood = -158.44258  (not concave)
Iteration 333: log pseudolikelihood = -158.44044  (not concave)
Iteration 334: log pseudolikelihood = -158.43829  (not concave)
Iteration 335: log pseudolikelihood = -158.43615  (not concave)
Iteration 336: log pseudolikelihood =   -158.434  (not concave)
Iteration 337: log pseudolikelihood = -158.43186  (not concave)
Iteration 338: log pseudolikelihood = -158.42971  (not concave)
Iteration 339: log pseudolikelihood = -158.42756  (not concave)
Iteration 340: log pseudolikelihood = -158.42541  (not concave)
Iteration 341: log pseudolikelihood = -158.42326  (not concave)
Iteration 342: log pseudolikelihood = -158.42111  (not concave)
Iteration 343: log pseudolikelihood = -158.41896  (not concave)
Iteration 344: log pseudolikelihood = -158.41681  (not concave)
Iteration 345: log pseudolikelihood = -158.41466  (not concave)
Iteration 346: log pseudolikelihood =  -158.4125  (not concave)
Iteration 347: log pseudolikelihood = -158.41035  (not concave)
Iteration 348: log pseudolikelihood = -158.40819  (not concave)
Iteration 349: log pseudolikelihood = -158.40604  (not concave)
Iteration 350: log pseudolikelihood = -158.40388  (not concave)
Iteration 351: log pseudolikelihood = -158.40173  (not concave)
Iteration 352: log pseudolikelihood = -158.39957  (not concave)
Iteration 353: log pseudolikelihood = -158.39742  (not concave)
Iteration 354: log pseudolikelihood = -158.39527  (not concave)
Iteration 355: log pseudolikelihood = -158.39311  (not concave)
Iteration 356: log pseudolikelihood = -158.39096  (not concave)
Iteration 357: log pseudolikelihood =  -158.3888  (not concave)
Iteration 358: log pseudolikelihood = -158.38665  (not concave)
Iteration 359: log pseudolikelihood =  -158.3845  (not concave)
Iteration 360: log pseudolikelihood = -158.38234  (not concave)
Iteration 361: log pseudolikelihood = -158.38019  (not concave)
Iteration 362: log pseudolikelihood = -158.37804  (not concave)
Iteration 363: log pseudolikelihood = -158.37589  (not concave)
Iteration 364: log pseudolikelihood = -158.37374  (not concave)
Iteration 365: log pseudolikelihood = -158.37159  (not concave)
Iteration 366: log pseudolikelihood = -158.36944  (not concave)
Iteration 367: log pseudolikelihood = -158.36729  (not concave)
Iteration 368: log pseudolikelihood = -158.36514  (not concave)
Iteration 369: log pseudolikelihood =   -158.363  (not concave)
Iteration 370: log pseudolikelihood = -158.36085  (not concave)
Iteration 371: log pseudolikelihood = -158.35871  (not concave)
Iteration 372: log pseudolikelihood = -158.35657  (not concave)
Iteration 373: log pseudolikelihood = -158.35443  
Iteration 374: log pseudolikelihood = -158.00397  (not concave)
Iteration 375: log pseudolikelihood = -157.87686  (not concave)
Iteration 376: log pseudolikelihood = -157.82081  (not concave)
Iteration 377: log pseudolikelihood = -157.79278  (not concave)
Iteration 378: log pseudolikelihood = -157.68651  (not concave)
Iteration 379: log pseudolikelihood = -157.67282  (not concave)
Iteration 380: log pseudolikelihood =  -157.6601  (not concave)
Iteration 381: log pseudolikelihood = -157.65262  (not concave)
Iteration 382: log pseudolikelihood =  -157.6455  (not concave)
Iteration 383: log pseudolikelihood = -157.63146  (not concave)
Iteration 384: log pseudolikelihood = -157.62425  (not concave)
Iteration 385: log pseudolikelihood = -157.60627  (not concave)
Iteration 386: log pseudolikelihood = -157.58723  (not concave)
Iteration 387: log pseudolikelihood = -157.58379  (not concave)
Iteration 388: log pseudolikelihood = -157.58111  (not concave)
Iteration 389: log pseudolikelihood = -157.57859  (not concave)
Iteration 390: log pseudolikelihood =   -157.574  (not concave)
Iteration 391: log pseudolikelihood = -157.57058  (not concave)
Iteration 392: log pseudolikelihood = -157.56818  (not concave)
Iteration 393: log pseudolikelihood =  -157.5657  (not concave)
Iteration 394: log pseudolikelihood = -157.54752  (not concave)
Iteration 395: log pseudolikelihood =  -157.5389  (not concave)
Iteration 396: log pseudolikelihood = -157.53792  (not concave)
Iteration 397: log pseudolikelihood = -157.53697  (not concave)
Iteration 398: log pseudolikelihood = -157.53603  (not concave)
Iteration 399: log pseudolikelihood = -157.53511  (not concave)
Iteration 400: log pseudolikelihood = -157.53423  (not concave)
Iteration 401: log pseudolikelihood = -157.53337  (not concave)
Iteration 402: log pseudolikelihood = -157.53253  (not concave)
Iteration 403: log pseudolikelihood = -157.53172  (not concave)
Iteration 404: log pseudolikelihood = -157.53093  (not concave)
Iteration 405: log pseudolikelihood = -157.53016  (not concave)
Iteration 406: log pseudolikelihood = -157.52941  (not concave)
Iteration 407: log pseudolikelihood = -157.52867  (not concave)
Iteration 408: log pseudolikelihood = -157.52796  (not concave)
Iteration 409: log pseudolikelihood = -157.52727  (not concave)
Iteration 410: log pseudolikelihood = -157.52659  (not concave)
Iteration 411: log pseudolikelihood = -157.52594  (not concave)
Iteration 412: log pseudolikelihood =  -157.5253  (not concave)
Iteration 413: log pseudolikelihood = -157.52467  (not concave)
Iteration 414: log pseudolikelihood = -157.52406  (not concave)
Iteration 415: log pseudolikelihood = -157.52347  (not concave)
Iteration 416: log pseudolikelihood = -157.52289  (not concave)
Iteration 417: log pseudolikelihood = -157.52232  (not concave)
Iteration 418: log pseudolikelihood = -157.52177  (not concave)
Iteration 419: log pseudolikelihood = -157.52123  (not concave)
Iteration 420: log pseudolikelihood =  -157.5207  (not concave)
Iteration 421: log pseudolikelihood = -157.52019  (not concave)
Iteration 422: log pseudolikelihood = -157.51968  (not concave)
Iteration 423: log pseudolikelihood = -157.51919  (not concave)
Iteration 424: log pseudolikelihood = -157.51871  (not concave)
Iteration 425: log pseudolikelihood = -157.51824  (not concave)
Iteration 426: log pseudolikelihood = -157.51778  (not concave)
Iteration 427: log pseudolikelihood = -157.51733  (not concave)
Iteration 428: log pseudolikelihood =  -157.5169  (not concave)
Iteration 429: log pseudolikelihood = -157.51647  (not concave)
Iteration 430: log pseudolikelihood = -157.51605  (not concave)
Iteration 431: log pseudolikelihood = -157.51563  (not concave)
Iteration 432: log pseudolikelihood = -157.51523  (not concave)
Iteration 433: log pseudolikelihood = -157.51484  (not concave)
Iteration 434: log pseudolikelihood = -157.51445  (not concave)
Iteration 435: log pseudolikelihood = -157.51407  (not concave)
Iteration 436: log pseudolikelihood =  -157.5137  (not concave)
Iteration 437: log pseudolikelihood = -157.51334  (not concave)
Iteration 438: log pseudolikelihood = -157.51298  (not concave)
Iteration 439: log pseudolikelihood = -157.51263  (not concave)
Iteration 440: log pseudolikelihood = -157.51229  (not concave)
Iteration 441: log pseudolikelihood = -157.51195  (not concave)
Iteration 442: log pseudolikelihood = -157.51162  (not concave)
Iteration 443: log pseudolikelihood =  -157.5113  (not concave)
Iteration 444: log pseudolikelihood = -157.51098  (not concave)
Iteration 445: log pseudolikelihood = -157.51067  (not concave)
Iteration 446: log pseudolikelihood = -157.51036  (not concave)
Iteration 447: log pseudolikelihood = -157.51006  (not concave)
Iteration 448: log pseudolikelihood = -157.50976  (not concave)
Iteration 449: log pseudolikelihood = -157.50947  (not concave)
Iteration 450: log pseudolikelihood = -157.50918  (not concave)
Iteration 451: log pseudolikelihood =  -157.5089  (not concave)
Iteration 452: log pseudolikelihood = -157.50862  (not concave)
Iteration 453: log pseudolikelihood = -157.50835  (not concave)
Iteration 454: log pseudolikelihood = -157.50809  (not concave)
Iteration 455: log pseudolikelihood = -157.50782  (not concave)
Iteration 456: log pseudolikelihood = -157.50756  (not concave)
Iteration 457: log pseudolikelihood = -157.50731  (not concave)
Iteration 458: log pseudolikelihood = -157.50706  (not concave)
Iteration 459: log pseudolikelihood = -157.50681  (not concave)
Iteration 460: log pseudolikelihood = -157.50656  (not concave)
Iteration 461: log pseudolikelihood = -157.50633  (not concave)
Iteration 462: log pseudolikelihood = -157.50609  (not concave)
Iteration 463: log pseudolikelihood = -157.50586  (not concave)
Iteration 464: log pseudolikelihood = -157.50563  (not concave)
Iteration 465: log pseudolikelihood =  -157.5054  (not concave)
Iteration 466: log pseudolikelihood = -157.50518  (not concave)
Iteration 467: log pseudolikelihood = -157.50496  (not concave)
Iteration 468: log pseudolikelihood = -157.50474  (not concave)
Iteration 469: log pseudolikelihood = -157.50453  (not concave)
Iteration 470: log pseudolikelihood = -157.50431  (not concave)
Iteration 471: log pseudolikelihood = -157.50411  (not concave)
Iteration 472: log pseudolikelihood =  -157.5039  (not concave)
Iteration 473: log pseudolikelihood =  -157.5037  (not concave)
Iteration 474: log pseudolikelihood =  -157.5035  (not concave)
Iteration 475: log pseudolikelihood =  -157.5033  (not concave)
Iteration 476: log pseudolikelihood =  -157.5031  (not concave)
Iteration 477: log pseudolikelihood = -157.50291  (not concave)
Iteration 478: log pseudolikelihood = -157.50272  (not concave)
Iteration 479: log pseudolikelihood = -157.50253  (not concave)
Iteration 480: log pseudolikelihood = -157.50235  (not concave)
Iteration 481: log pseudolikelihood = -157.50216  (not concave)
Iteration 482: log pseudolikelihood = -157.50198  (not concave)
Iteration 483: log pseudolikelihood =  -157.5018  (not concave)
Iteration 484: log pseudolikelihood = -157.50162  (not concave)
Iteration 485: log pseudolikelihood = -157.50145  (not concave)
Iteration 486: log pseudolikelihood = -157.50127  (not concave)
Iteration 487: log pseudolikelihood =  -157.5011  (not concave)
Iteration 488: log pseudolikelihood = -157.50093  (not concave)
Iteration 489: log pseudolikelihood = -157.50076  (not concave)
Iteration 490: log pseudolikelihood =  -157.5006  (not concave)
Iteration 491: log pseudolikelihood = -157.50043  (not concave)
Iteration 492: log pseudolikelihood = -157.50027  (not concave)
Iteration 493: log pseudolikelihood = -157.50011  (not concave)
Iteration 494: log pseudolikelihood = -157.49995  (not concave)
Iteration 495: log pseudolikelihood = -157.49979  (not concave)
Iteration 496: log pseudolikelihood = -157.49964  (not concave)
Iteration 497: log pseudolikelihood = -157.49948  (not concave)
Iteration 498: log pseudolikelihood = -157.49933  (not concave)
Iteration 499: log pseudolikelihood = -157.49918  (not concave)
Iteration 500: log pseudolikelihood = -157.49903  (not concave)
Iteration 501: log pseudolikelihood = -157.49888  (not concave)
Iteration 502: log pseudolikelihood = -157.49873  (not concave)
Iteration 503: log pseudolikelihood = -157.49858  (not concave)
Iteration 504: log pseudolikelihood = -157.49844  (not concave)
Iteration 505: log pseudolikelihood =  -157.4983  (not concave)
Iteration 506: log pseudolikelihood = -157.49815  (not concave)
Iteration 507: log pseudolikelihood = -157.49801  (not concave)
Iteration 508: log pseudolikelihood = -157.49787  (not concave)
Iteration 509: log pseudolikelihood = -157.49773  (not concave)
Iteration 510: log pseudolikelihood =  -157.4976  (not concave)
Iteration 511: log pseudolikelihood = -157.49746  (not concave)
Iteration 512: log pseudolikelihood = -157.49733  (not concave)
Iteration 513: log pseudolikelihood = -157.49719  (not concave)
Iteration 514: log pseudolikelihood = -157.49706  (not concave)
Iteration 515: log pseudolikelihood = -157.49693  (not concave)
Iteration 516: log pseudolikelihood =  -157.4968  (not concave)
Iteration 517: log pseudolikelihood = -157.49667  (not concave)
Iteration 518: log pseudolikelihood = -157.49654  (not concave)
Iteration 519: log pseudolikelihood = -157.49641  (not concave)
Iteration 520: log pseudolikelihood = -157.49629  (not concave)
Iteration 521: log pseudolikelihood = -157.49616  (not concave)
Iteration 522: log pseudolikelihood = -157.49604  (not concave)
Iteration 523: log pseudolikelihood = -157.49591  (not concave)
Iteration 524: log pseudolikelihood = -157.49579  (not concave)
Iteration 525: log pseudolikelihood = -157.49567  (not concave)
Iteration 526: log pseudolikelihood = -157.49555  (not concave)
Iteration 527: log pseudolikelihood = -157.49543  (not concave)
Iteration 528: log pseudolikelihood = -157.49531  (not concave)
Iteration 529: log pseudolikelihood = -157.49519  (not concave)
Iteration 530: log pseudolikelihood = -157.49507  (not concave)
Iteration 531: log pseudolikelihood = -157.49496  (not concave)
Iteration 532: log pseudolikelihood = -157.49484  (not concave)
Iteration 533: log pseudolikelihood = -157.49473  (not concave)
Iteration 534: log pseudolikelihood = -157.49461  (not concave)
Iteration 535: log pseudolikelihood =  -157.4945  (not concave)
Iteration 536: log pseudolikelihood = -157.49439  (not concave)
Iteration 537: log pseudolikelihood = -157.49427  (not concave)
Iteration 538: log pseudolikelihood = -157.49416  (not concave)
Iteration 539: log pseudolikelihood = -157.49405  (not concave)
Iteration 540: log pseudolikelihood = -157.49394  (not concave)
Iteration 541: log pseudolikelihood = -157.49383  (not concave)
Iteration 542: log pseudolikelihood = -157.49373  (not concave)
Iteration 543: log pseudolikelihood = -157.49362  (not concave)
Iteration 544: log pseudolikelihood = -157.49351  (not concave)
Iteration 545: log pseudolikelihood = -157.49341  (not concave)
Iteration 546: log pseudolikelihood =  -157.4933  (not concave)
Iteration 547: log pseudolikelihood = -157.49319  (not concave)
Iteration 548: log pseudolikelihood = -157.49309  (not concave)
Iteration 549: log pseudolikelihood = -157.49299  (not concave)
Iteration 550: log pseudolikelihood = -157.49288  (not concave)
Iteration 551: log pseudolikelihood = -157.49278  (not concave)
Iteration 552: log pseudolikelihood = -157.49268  (not concave)
Iteration 553: log pseudolikelihood = -157.49258  (not concave)
Iteration 554: log pseudolikelihood = -157.49248  (not concave)
Iteration 555: log pseudolikelihood = -157.49238  (not concave)
Iteration 556: log pseudolikelihood = -157.49228  (not concave)
Iteration 557: log pseudolikelihood = -157.49218  (not concave)
Iteration 558: log pseudolikelihood = -157.49208  (not concave)
Iteration 559: log pseudolikelihood = -157.49198  (not concave)
Iteration 560: log pseudolikelihood = -157.49189  (not concave)
Iteration 561: log pseudolikelihood = -157.49179  (not concave)
Iteration 562: log pseudolikelihood = -157.49169  (not concave)
Iteration 563: log pseudolikelihood =  -157.4916  (not concave)
Iteration 564: log pseudolikelihood =  -157.4915  (not concave)
Iteration 565: log pseudolikelihood = -157.49141  (not concave)
Iteration 566: log pseudolikelihood = -157.49131  (not concave)
Iteration 567: log pseudolikelihood = -157.49122  (not concave)
Iteration 568: log pseudolikelihood = -157.49112  (not concave)
Iteration 569: log pseudolikelihood = -157.49103  (not concave)
Iteration 570: log pseudolikelihood = -157.49094  (not concave)
Iteration 571: log pseudolikelihood = -157.49085  (not concave)
Iteration 572: log pseudolikelihood = -157.49076  (not concave)
Iteration 573: log pseudolikelihood = -157.49066  (not concave)
Iteration 574: log pseudolikelihood = -157.49057  (not concave)
Iteration 575: log pseudolikelihood = -157.49048  (not concave)
Iteration 576: log pseudolikelihood = -157.49039  (not concave)
Iteration 577: log pseudolikelihood = -157.49031  (not concave)
Iteration 578: log pseudolikelihood = -157.49022  (not concave)
Iteration 579: log pseudolikelihood = -157.49013  (not concave)
Iteration 580: log pseudolikelihood = -157.49004  (not concave)
Iteration 581: log pseudolikelihood = -157.48995  (not concave)
Iteration 582: log pseudolikelihood = -157.48986  (not concave)
Iteration 583: log pseudolikelihood = -157.48978  (not concave)
Iteration 584: log pseudolikelihood = -157.48969  (not concave)
Iteration 585: log pseudolikelihood = -157.48961  (not concave)
Iteration 586: log pseudolikelihood = -157.48952  (not concave)
Iteration 587: log pseudolikelihood = -157.48943  (not concave)
Iteration 588: log pseudolikelihood = -157.48935  (not concave)
Iteration 589: log pseudolikelihood = -157.48926  (not concave)
Iteration 590: log pseudolikelihood = -157.48918  (not concave)
Iteration 591: log pseudolikelihood =  -157.4891  (not concave)
Iteration 592: log pseudolikelihood = -157.48901  (not concave)
Iteration 593: log pseudolikelihood = -157.48893  (not concave)
Iteration 594: log pseudolikelihood = -157.48885  (not concave)
Iteration 595: log pseudolikelihood = -157.48876  (not concave)
Iteration 596: log pseudolikelihood = -157.48868  (not concave)
Iteration 597: log pseudolikelihood =  -157.4886  (not concave)
Iteration 598: log pseudolikelihood = -157.48852  (not concave)
Iteration 599: log pseudolikelihood = -157.48844  (not concave)
Iteration 600: log pseudolikelihood = -157.48836  (not concave)
Iteration 601: log pseudolikelihood = -157.48828  (not concave)
Iteration 602: log pseudolikelihood = -157.48819  (not concave)
Iteration 603: log pseudolikelihood = -157.48811  (not concave)
Iteration 604: log pseudolikelihood = -157.48804  (not concave)
Iteration 605: log pseudolikelihood = -157.48796  (not concave)
Iteration 606: log pseudolikelihood = -157.48788  (not concave)
Iteration 607: log pseudolikelihood =  -157.4878  (not concave)
Iteration 608: log pseudolikelihood = -157.48772  (not concave)
Iteration 609: log pseudolikelihood = -157.48764  (not concave)
Iteration 610: log pseudolikelihood = -157.48756  (not concave)
Iteration 611: log pseudolikelihood = -157.48748  (not concave)
Iteration 612: log pseudolikelihood = -157.48741  (not concave)
Iteration 613: log pseudolikelihood = -157.48733  (not concave)
Iteration 614: log pseudolikelihood = -157.48725  (not concave)
Iteration 615: log pseudolikelihood = -157.48718  (not concave)
Iteration 616: log pseudolikelihood =  -157.4871  (not concave)
Iteration 617: log pseudolikelihood = -157.48702  (not concave)
Iteration 618: log pseudolikelihood = -157.48695  (not concave)
Iteration 619: log pseudolikelihood = -157.48687  (not concave)
Iteration 620: log pseudolikelihood =  -157.4868  (not concave)
Iteration 621: log pseudolikelihood = -157.48672  (not concave)
Iteration 622: log pseudolikelihood = -157.48665  (not concave)
Iteration 623: log pseudolikelihood = -157.48657  (not concave)
Iteration 624: log pseudolikelihood =  -157.4865  (not concave)
Iteration 625: log pseudolikelihood = -157.48642  (not concave)
Iteration 626: log pseudolikelihood = -157.48635  (not concave)
Iteration 627: log pseudolikelihood = -157.48628  (not concave)
Iteration 628: log pseudolikelihood =  -157.4862  (not concave)
Iteration 629: log pseudolikelihood = -157.48613  (not concave)
Iteration 630: log pseudolikelihood = -157.48605  (not concave)
Iteration 631: log pseudolikelihood = -157.48598  (not concave)
Iteration 632: log pseudolikelihood = -157.48591  (not concave)
Iteration 633: log pseudolikelihood = -157.48584  (not concave)
Iteration 634: log pseudolikelihood = -157.48576  (not concave)
Iteration 635: log pseudolikelihood = -157.48569  (not concave)
Iteration 636: log pseudolikelihood = -157.48562  (not concave)
Iteration 637: log pseudolikelihood = -157.48555  (not concave)
Iteration 638: log pseudolikelihood = -157.48548  (not concave)
Iteration 639: log pseudolikelihood =  -157.4854  (not concave)
Iteration 640: log pseudolikelihood = -157.48533  (not concave)
Iteration 641: log pseudolikelihood = -157.48526  (not concave)
Iteration 642: log pseudolikelihood = -157.48519  (not concave)
Iteration 643: log pseudolikelihood = -157.48512  (not concave)
Iteration 644: log pseudolikelihood = -157.48505  (not concave)
Iteration 645: log pseudolikelihood = -157.48498  (not concave)
Iteration 646: log pseudolikelihood = -157.48491  (not concave)
Iteration 647: log pseudolikelihood = -157.48484  (not concave)
Iteration 648: log pseudolikelihood = -157.48477  (not concave)
Iteration 649: log pseudolikelihood =  -157.4847  (not concave)
Iteration 650: log pseudolikelihood = -157.48463  (not concave)
Iteration 651: log pseudolikelihood = -157.48456  (not concave)
Iteration 652: log pseudolikelihood = -157.48449  (not concave)
Iteration 653: log pseudolikelihood = -157.48442  (not concave)
Iteration 654: log pseudolikelihood = -157.48435  (not concave)
Iteration 655: log pseudolikelihood = -157.48428  (not concave)
Iteration 656: log pseudolikelihood = -157.48422  (not concave)
Iteration 657: log pseudolikelihood = -157.48415  (not concave)
Iteration 658: log pseudolikelihood = -157.48408  (not concave)
Iteration 659: log pseudolikelihood = -157.48401  (not concave)
Iteration 660: log pseudolikelihood = -157.48394  (not concave)
Iteration 661: log pseudolikelihood = -157.48388  (not concave)
Iteration 662: log pseudolikelihood = -157.48381  (not concave)
Iteration 663: log pseudolikelihood = -157.48374  (not concave)
Iteration 664: log pseudolikelihood = -157.48367  (not concave)
Iteration 665: log pseudolikelihood =  -157.4836  (not concave)
Iteration 666: log pseudolikelihood = -157.48354  (not concave)
Iteration 667: log pseudolikelihood = -157.48347  (not concave)
Iteration 668: log pseudolikelihood =  -157.4834  (not concave)
Iteration 669: log pseudolikelihood = -157.48334  (not concave)
Iteration 670: log pseudolikelihood = -157.48327  (not concave)
Iteration 671: log pseudolikelihood =  -157.4832  (not concave)
Iteration 672: log pseudolikelihood = -157.48314  (not concave)
Iteration 673: log pseudolikelihood = -157.48307  (not concave)
Iteration 674: log pseudolikelihood =   -157.483  (not concave)
Iteration 675: log pseudolikelihood = -157.48294  (not concave)
Iteration 676: log pseudolikelihood = -157.48287  (not concave)
Iteration 677: log pseudolikelihood =  -157.4828  (not concave)
Iteration 678: log pseudolikelihood = -157.48274  (not concave)
Iteration 679: log pseudolikelihood = -157.48267  (not concave)
Iteration 680: log pseudolikelihood = -157.48261  (not concave)
Iteration 681: log pseudolikelihood = -157.48254  (not concave)
Iteration 682: log pseudolikelihood = -157.48247  (not concave)
Iteration 683: log pseudolikelihood = -157.48241  (not concave)
Iteration 684: log pseudolikelihood = -157.48234  (not concave)
Iteration 685: log pseudolikelihood = -157.48228  (not concave)
Iteration 686: log pseudolikelihood = -157.48221  (not concave)
Iteration 687: log pseudolikelihood = -157.48215  (not concave)
Iteration 688: log pseudolikelihood = -157.48208  (not concave)
Iteration 689: log pseudolikelihood = -157.48202  (not concave)
Iteration 690: log pseudolikelihood = -157.48195  (not concave)
Iteration 691: log pseudolikelihood = -157.48189  (not concave)
Iteration 692: log pseudolikelihood = -157.48182  (not concave)
Iteration 693: log pseudolikelihood = -157.48176  (not concave)
Iteration 694: log pseudolikelihood = -157.48169  (not concave)
Iteration 695: log pseudolikelihood = -157.48163  (not concave)
Iteration 696: log pseudolikelihood = -157.48156  (not concave)
Iteration 697: log pseudolikelihood =  -157.4815  (not concave)
Iteration 698: log pseudolikelihood = -157.48143  (not concave)
Iteration 699: log pseudolikelihood = -157.48137  (not concave)
Iteration 700: log pseudolikelihood =  -157.4813  (not concave)
Iteration 701: log pseudolikelihood = -157.48124  (not concave)
Iteration 702: log pseudolikelihood = -157.48118  (not concave)
Iteration 703: log pseudolikelihood = -157.48111  (not concave)
Iteration 704: log pseudolikelihood = -157.48105  (not concave)
Iteration 705: log pseudolikelihood = -157.48098  (not concave)
Iteration 706: log pseudolikelihood = -157.48092  (not concave)
Iteration 707: log pseudolikelihood = -157.48085  (not concave)
Iteration 708: log pseudolikelihood = -157.48079  (not concave)
Iteration 709: log pseudolikelihood = -157.48073  (not concave)
Iteration 710: log pseudolikelihood = -157.48066  (not concave)
Iteration 711: log pseudolikelihood =  -157.4806  (not concave)
Iteration 712: log pseudolikelihood = -157.48053  (not concave)
Iteration 713: log pseudolikelihood = -157.48047  (not concave)
Iteration 714: log pseudolikelihood = -157.48041  (not concave)
Iteration 715: log pseudolikelihood = -157.48034  (not concave)
Iteration 716: log pseudolikelihood = -157.48028  (not concave)
Iteration 717: log pseudolikelihood = -157.48021  (not concave)
Iteration 718: log pseudolikelihood = -157.48015  (not concave)
Iteration 719: log pseudolikelihood = -157.48009  (not concave)
Iteration 720: log pseudolikelihood = -157.48002  (not concave)
Iteration 721: log pseudolikelihood = -157.47996  (not concave)
Iteration 722: log pseudolikelihood = -157.47989  (not concave)
Iteration 723: log pseudolikelihood = -157.47983  (not concave)
Iteration 724: log pseudolikelihood = -157.47977  (not concave)
Iteration 725: log pseudolikelihood =  -157.4797  (not concave)
Iteration 726: log pseudolikelihood = -157.47964  (not concave)
Iteration 727: log pseudolikelihood = -157.47958  (not concave)
Iteration 728: log pseudolikelihood = -157.47951  (not concave)
Iteration 729: log pseudolikelihood = -157.47945  (not concave)
Iteration 730: log pseudolikelihood = -157.47938  (not concave)
Iteration 731: log pseudolikelihood = -157.47932  (not concave)
Iteration 732: log pseudolikelihood = -157.47926  (not concave)
Iteration 733: log pseudolikelihood = -157.47919  (not concave)
Iteration 734: log pseudolikelihood = -157.47913  (not concave)
Iteration 735: log pseudolikelihood = -157.47906  (not concave)
Iteration 736: log pseudolikelihood =   -157.479  (not concave)
Iteration 737: log pseudolikelihood = -157.47894  (not concave)
Iteration 738: log pseudolikelihood = -157.47887  (not concave)
Iteration 739: log pseudolikelihood = -157.47881  (not concave)
Iteration 740: log pseudolikelihood = -157.47875  (not concave)
Iteration 741: log pseudolikelihood = -157.47868  (not concave)
Iteration 742: log pseudolikelihood = -157.47862  (not concave)
Iteration 743: log pseudolikelihood = -157.47855  (not concave)
Iteration 744: log pseudolikelihood = -157.47849  (not concave)
Iteration 745: log pseudolikelihood = -157.47842  (not concave)
Iteration 746: log pseudolikelihood = -157.47836  (not concave)
Iteration 747: log pseudolikelihood =  -157.4783  (not concave)
Iteration 748: log pseudolikelihood = -157.47823  (not concave)
Iteration 749: log pseudolikelihood = -157.47817  (not concave)
Iteration 750: log pseudolikelihood =  -157.4781  (not concave)
Iteration 751: log pseudolikelihood = -157.47804  (not concave)
Iteration 752: log pseudolikelihood = -157.47797  (not concave)
Iteration 753: log pseudolikelihood = -157.47791  (not concave)
Iteration 754: log pseudolikelihood = -157.47785  (not concave)
Iteration 755: log pseudolikelihood = -157.47778  (not concave)
Iteration 756: log pseudolikelihood = -157.47772  (not concave)
Iteration 757: log pseudolikelihood = -157.47765  (not concave)
Iteration 758: log pseudolikelihood = -157.47759  (not concave)
Iteration 759: log pseudolikelihood = -157.47752  (not concave)
Iteration 760: log pseudolikelihood = -157.47746  (not concave)
Iteration 761: log pseudolikelihood = -157.47739  (not concave)
Iteration 762: log pseudolikelihood = -157.47733  (not concave)
Iteration 763: log pseudolikelihood = -157.47726  (not concave)
Iteration 764: log pseudolikelihood =  -157.4772  (not concave)
Iteration 765: log pseudolikelihood = -157.47713  (not concave)
Iteration 766: log pseudolikelihood = -157.47707  (not concave)
Iteration 767: log pseudolikelihood =   -157.477  (not concave)
Iteration 768: log pseudolikelihood = -157.47694  (not concave)
Iteration 769: log pseudolikelihood = -157.47687  (not concave)
Iteration 770: log pseudolikelihood =  -157.4768  (not concave)
Iteration 771: log pseudolikelihood = -157.47674  (not concave)
Iteration 772: log pseudolikelihood = -157.47667  (not concave)
Iteration 773: log pseudolikelihood = -157.47661  (not concave)
Iteration 774: log pseudolikelihood = -157.47654  (not concave)
Iteration 775: log pseudolikelihood = -157.47647  (not concave)
Iteration 776: log pseudolikelihood = -157.47641  (not concave)
Iteration 777: log pseudolikelihood = -157.47634  (not concave)
Iteration 778: log pseudolikelihood = -157.47628  (not concave)
Iteration 779: log pseudolikelihood = -157.47621  (not concave)
Iteration 780: log pseudolikelihood = -157.47614  (not concave)
Iteration 781: log pseudolikelihood = -157.47608  (not concave)
Iteration 782: log pseudolikelihood = -157.47601  (not concave)
Iteration 783: log pseudolikelihood = -157.47594  (not concave)
Iteration 784: log pseudolikelihood = -157.47587  (not concave)
Iteration 785: log pseudolikelihood = -157.47581  (not concave)
Iteration 786: log pseudolikelihood = -157.47574  (not concave)
Iteration 787: log pseudolikelihood = -157.47567  (not concave)
Iteration 788: log pseudolikelihood =  -157.4756  (not concave)
Iteration 789: log pseudolikelihood = -157.47554  (not concave)
Iteration 790: log pseudolikelihood = -157.47547  (not concave)
Iteration 791: log pseudolikelihood =  -157.4754  (not concave)
Iteration 792: log pseudolikelihood = -157.47533  (not concave)
Iteration 793: log pseudolikelihood = -157.47526  (not concave)
Iteration 794: log pseudolikelihood =  -157.4752  (not concave)
Iteration 795: log pseudolikelihood = -157.47513  (not concave)
Iteration 796: log pseudolikelihood = -157.47506  (not concave)
Iteration 797: log pseudolikelihood = -157.47499  (not concave)
Iteration 798: log pseudolikelihood = -157.47492  (not concave)
Iteration 799: log pseudolikelihood = -157.47485  (not concave)
Iteration 800: log pseudolikelihood = -157.47478  (not concave)
Iteration 801: log pseudolikelihood = -157.47471  (not concave)
Iteration 802: log pseudolikelihood = -157.47464  (not concave)
Iteration 803: log pseudolikelihood = -157.47457  (not concave)
Iteration 804: log pseudolikelihood =  -157.4745  (not concave)
Iteration 805: log pseudolikelihood = -157.47443  (not concave)
Iteration 806: log pseudolikelihood = -157.47436  (not concave)
Iteration 807: log pseudolikelihood = -157.47429  (not concave)
Iteration 808: log pseudolikelihood = -157.47422  (not concave)
Iteration 809: log pseudolikelihood = -157.47415  (not concave)
Iteration 810: log pseudolikelihood = -157.47408  (not concave)
Iteration 811: log pseudolikelihood = -157.47401  (not concave)
Iteration 812: log pseudolikelihood = -157.47394  (not concave)
Iteration 813: log pseudolikelihood = -157.47387  (not concave)
Iteration 814: log pseudolikelihood = -157.47379  (not concave)
Iteration 815: log pseudolikelihood = -157.47372  (not concave)
Iteration 816: log pseudolikelihood = -157.47365  (not concave)
Iteration 817: log pseudolikelihood = -157.47358  (not concave)
Iteration 818: log pseudolikelihood = -157.47351  (not concave)
Iteration 819: log pseudolikelihood = -157.47343  (not concave)
Iteration 820: log pseudolikelihood = -157.47336  (not concave)
Iteration 821: log pseudolikelihood = -157.47329  (not concave)
Iteration 822: log pseudolikelihood = -157.47321  (not concave)
Iteration 823: log pseudolikelihood = -157.47314  (not concave)
Iteration 824: log pseudolikelihood = -157.47307  (not concave)
Iteration 825: log pseudolikelihood = -157.47299  (not concave)
Iteration 826: log pseudolikelihood = -157.47292  (not concave)
Iteration 827: log pseudolikelihood = -157.47284  (not concave)
Iteration 828: log pseudolikelihood = -157.47277  (not concave)
Iteration 829: log pseudolikelihood = -157.47269  (not concave)
Iteration 830: log pseudolikelihood = -157.47262  (not concave)
Iteration 831: log pseudolikelihood = -157.47254  (not concave)
Iteration 832: log pseudolikelihood = -157.47247  (not concave)
Iteration 833: log pseudolikelihood = -157.47239  (not concave)
Iteration 834: log pseudolikelihood = -157.47231  (not concave)
Iteration 835: log pseudolikelihood = -157.47224  (not concave)
Iteration 836: log pseudolikelihood = -157.47216  (not concave)
Iteration 837: log pseudolikelihood = -157.47208  (not concave)
Iteration 838: log pseudolikelihood = -157.47201  (not concave)
Iteration 839: log pseudolikelihood = -157.47193  (not concave)
Iteration 840: log pseudolikelihood = -157.47185  (not concave)
Iteration 841: log pseudolikelihood = -157.47177  (not concave)
Iteration 842: log pseudolikelihood = -157.47169  (not concave)
Iteration 843: log pseudolikelihood = -157.47161  (not concave)
Iteration 844: log pseudolikelihood = -157.47154  (not concave)
Iteration 845: log pseudolikelihood = -157.47146  (not concave)
Iteration 846: log pseudolikelihood = -157.47138  (not concave)
Iteration 847: log pseudolikelihood =  -157.4713  (not concave)
Iteration 848: log pseudolikelihood = -157.47122  (not concave)
Iteration 849: log pseudolikelihood = -157.47114  (not concave)
Iteration 850: log pseudolikelihood = -157.47105  (not concave)
Iteration 851: log pseudolikelihood = -157.47097  (not concave)
Iteration 852: log pseudolikelihood = -157.47089  (not concave)
Iteration 853: log pseudolikelihood = -157.47081  (not concave)
Iteration 854: log pseudolikelihood = -157.47073  (not concave)
Iteration 855: log pseudolikelihood = -157.47065  (not concave)
Iteration 856: log pseudolikelihood = -157.47056  (not concave)
Iteration 857: log pseudolikelihood = -157.47048  (not concave)
Iteration 858: log pseudolikelihood =  -157.4704  (not concave)
Iteration 859: log pseudolikelihood = -157.47031  (not concave)
Iteration 860: log pseudolikelihood = -157.47023  (not concave)
Iteration 861: log pseudolikelihood = -157.47014  (not concave)
Iteration 862: log pseudolikelihood = -157.47006  (not concave)
Iteration 863: log pseudolikelihood = -157.46997  (not concave)
Iteration 864: log pseudolikelihood = -157.46989  (not concave)
Iteration 865: log pseudolikelihood =  -157.4698  (not concave)
Iteration 866: log pseudolikelihood = -157.46972  (not concave)
Iteration 867: log pseudolikelihood = -157.46963  (not concave)
Iteration 868: log pseudolikelihood = -157.46954  (not concave)
Iteration 869: log pseudolikelihood = -157.46945  (not concave)
Iteration 870: log pseudolikelihood = -157.46937  (not concave)
Iteration 871: log pseudolikelihood = -157.46928  (not concave)
Iteration 872: log pseudolikelihood = -157.46919  (not concave)
Iteration 873: log pseudolikelihood =  -157.4691  (not concave)
Iteration 874: log pseudolikelihood = -157.46901  (not concave)
Iteration 875: log pseudolikelihood = -157.46892  (not concave)
Iteration 876: log pseudolikelihood = -157.46883  (not concave)
Iteration 877: log pseudolikelihood = -157.46874  (not concave)
Iteration 878: log pseudolikelihood = -157.46865  (not concave)
Iteration 879: log pseudolikelihood = -157.46856  (not concave)
Iteration 880: log pseudolikelihood = -157.46846  (not concave)
Iteration 881: log pseudolikelihood = -157.46837  (not concave)
Iteration 882: log pseudolikelihood = -157.46828  (not concave)
Iteration 883: log pseudolikelihood = -157.46818  (not concave)
Iteration 884: log pseudolikelihood = -157.46809  (not concave)
Iteration 885: log pseudolikelihood =   -157.468  (not concave)
Iteration 886: log pseudolikelihood =  -157.4679  (not concave)
Iteration 887: log pseudolikelihood = -157.46781  (not concave)
Iteration 888: log pseudolikelihood = -157.46771  (not concave)
Iteration 889: log pseudolikelihood = -157.46761  (not concave)
Iteration 890: log pseudolikelihood = -157.46752  (not concave)
Iteration 891: log pseudolikelihood = -157.46742  (not concave)
Iteration 892: log pseudolikelihood = -157.46732  (not concave)
Iteration 893: log pseudolikelihood = -157.46722  (not concave)
Iteration 894: log pseudolikelihood = -157.46712  (not concave)
Iteration 895: log pseudolikelihood = -157.46703  (not concave)
Iteration 896: log pseudolikelihood = -157.46693  (not concave)
Iteration 897: log pseudolikelihood = -157.46682  (not concave)
Iteration 898: log pseudolikelihood = -157.46672  (not concave)
Iteration 899: log pseudolikelihood = -157.46662  (not concave)
Iteration 900: log pseudolikelihood = -157.46652  (not concave)
Iteration 901: log pseudolikelihood = -157.46642  (not concave)
Iteration 902: log pseudolikelihood = -157.46631  (not concave)
Iteration 903: log pseudolikelihood = -157.46621  (not concave)
Iteration 904: log pseudolikelihood = -157.46611  (not concave)
Iteration 905: log pseudolikelihood =   -157.466  (not concave)
Iteration 906: log pseudolikelihood =  -157.4659  (not concave)
Iteration 907: log pseudolikelihood = -157.46579  (not concave)
Iteration 908: log pseudolikelihood = -157.46568  (not concave)
Iteration 909: log pseudolikelihood = -157.46558  (not concave)
Iteration 910: log pseudolikelihood = -157.46547  (not concave)
Iteration 911: log pseudolikelihood = -157.46536  (not concave)
Iteration 912: log pseudolikelihood = -157.46525  (not concave)
Iteration 913: log pseudolikelihood = -157.46514  (not concave)
Iteration 914: log pseudolikelihood = -157.46503  (not concave)
Iteration 915: log pseudolikelihood = -157.46492  (not concave)
Iteration 916: log pseudolikelihood = -157.46481  (not concave)
Iteration 917: log pseudolikelihood =  -157.4647  (not concave)
Iteration 918: log pseudolikelihood = -157.46458  (not concave)
Iteration 919: log pseudolikelihood = -157.46447  (not concave)
Iteration 920: log pseudolikelihood = -157.46435  (not concave)
Iteration 921: log pseudolikelihood = -157.46424  (not concave)
Iteration 922: log pseudolikelihood = -157.46412  (not concave)
Iteration 923: log pseudolikelihood = -157.46401  (not concave)
Iteration 924: log pseudolikelihood = -157.46389  (not concave)
Iteration 925: log pseudolikelihood = -157.46377  (not concave)
Iteration 926: log pseudolikelihood = -157.46365  (not concave)
Iteration 927: log pseudolikelihood = -157.46353  (not concave)
Iteration 928: log pseudolikelihood = -157.46341  (not concave)
Iteration 929: log pseudolikelihood = -157.46329  (not concave)
Iteration 930: log pseudolikelihood = -157.46317  (not concave)
Iteration 931: log pseudolikelihood = -157.46305  (not concave)
Iteration 932: log pseudolikelihood = -157.46293  (not concave)
Iteration 933: log pseudolikelihood =  -157.4628  (not concave)
Iteration 934: log pseudolikelihood = -157.46268  (not concave)
Iteration 935: log pseudolikelihood = -157.46255  (not concave)
Iteration 936: log pseudolikelihood = -157.46243  (not concave)
Iteration 937: log pseudolikelihood =  -157.4623  (not concave)
Iteration 938: log pseudolikelihood = -157.46217  (not concave)
Iteration 939: log pseudolikelihood = -157.46204  (not concave)
Iteration 940: log pseudolikelihood = -157.46191  (not concave)
Iteration 941: log pseudolikelihood = -157.46178  (not concave)
Iteration 942: log pseudolikelihood = -157.46165  (not concave)
Iteration 943: log pseudolikelihood = -157.46152  (not concave)
Iteration 944: log pseudolikelihood = -157.46139  (not concave)
Iteration 945: log pseudolikelihood = -157.46125  (not concave)
Iteration 946: log pseudolikelihood = -157.46112  (not concave)
Iteration 947: log pseudolikelihood = -157.46098  (not concave)
Iteration 948: log pseudolikelihood = -157.46085  (not concave)
Iteration 949: log pseudolikelihood = -157.46071  (not concave)
Iteration 950: log pseudolikelihood = -157.46057  (not concave)
Iteration 951: log pseudolikelihood = -157.46043  (not concave)
Iteration 952: log pseudolikelihood = -157.46029  (not concave)
Iteration 953: log pseudolikelihood = -157.46015  (not concave)
Iteration 954: log pseudolikelihood = -157.46001  (not concave)
Iteration 955: log pseudolikelihood = -157.45986  (not concave)
Iteration 956: log pseudolikelihood = -157.45972  (not concave)
Iteration 957: log pseudolikelihood = -157.45958  (not concave)
Iteration 958: log pseudolikelihood = -157.45943  (not concave)
Iteration 959: log pseudolikelihood = -157.45928  (not concave)
Iteration 960: log pseudolikelihood = -157.45913  (not concave)
Iteration 961: log pseudolikelihood = -157.45899  (not concave)
Iteration 962: log pseudolikelihood = -157.45883  (not concave)
Iteration 963: log pseudolikelihood = -157.45868  (not concave)
Iteration 964: log pseudolikelihood = -157.45853  (not concave)
Iteration 965: log pseudolikelihood = -157.45838  (not concave)
Iteration 966: log pseudolikelihood = -157.45822  (not concave)
Iteration 967: log pseudolikelihood = -157.45807  (not concave)
Iteration 968: log pseudolikelihood = -157.45791  (not concave)
Iteration 969: log pseudolikelihood = -157.45775  (not concave)
Iteration 970: log pseudolikelihood = -157.45759  (not concave)
Iteration 971: log pseudolikelihood = -157.45743  (not concave)
Iteration 972: log pseudolikelihood = -157.45727  (not concave)
Iteration 973: log pseudolikelihood = -157.45711  (not concave)
Iteration 974: log pseudolikelihood = -157.45695  (not concave)
Iteration 975: log pseudolikelihood = -157.45678  (not concave)
Iteration 976: log pseudolikelihood = -157.45662  (not concave)
Iteration 977: log pseudolikelihood = -157.45645  (not concave)
Iteration 978: log pseudolikelihood = -157.45628  (not concave)
Iteration 979: log pseudolikelihood = -157.45611  (not concave)
Iteration 980: log pseudolikelihood = -157.45594  (not concave)
Iteration 981: log pseudolikelihood = -157.45577  (not concave)
Iteration 982: log pseudolikelihood = -157.45559  (not concave)
Iteration 983: log pseudolikelihood = -157.45542  (not concave)
Iteration 984: log pseudolikelihood = -157.45524  (not concave)
Iteration 985: log pseudolikelihood = -157.45507  (not concave)
Iteration 986: log pseudolikelihood = -157.45489  (not concave)
Iteration 987: log pseudolikelihood = -157.45471  (not concave)
Iteration 988: log pseudolikelihood = -157.45452  (not concave)
Iteration 989: log pseudolikelihood = -157.45434  (not concave)
Iteration 990: log pseudolikelihood = -157.45416  (not concave)
Iteration 991: log pseudolikelihood = -157.45397  (not concave)
Iteration 992: log pseudolikelihood = -157.45379  (not concave)
Iteration 993: log pseudolikelihood =  -157.4536  (not concave)
Iteration 994: log pseudolikelihood = -157.45341  (not concave)
Iteration 995: log pseudolikelihood = -157.45322  (not concave)
Iteration 996: log pseudolikelihood = -157.45302  (not concave)
Iteration 997: log pseudolikelihood = -157.45283  (not concave)
Iteration 998: log pseudolikelihood = -157.45263  (not concave)
Iteration 999: log pseudolikelihood = -157.45244  (not concave)
Iteration 1000: log pseudolikelihood = -157.45224  (not concave)
Iteration 1001: log pseudolikelihood = -157.45204  (not concave)
Iteration 1002: log pseudolikelihood = -157.45183  (not concave)
Iteration 1003: log pseudolikelihood = -157.45163  (not concave)
Iteration 1004: log pseudolikelihood = -157.45143  (not concave)
Iteration 1005: log pseudolikelihood = -157.45122  (not concave)
Iteration 1006: log pseudolikelihood = -157.45101  (not concave)
Iteration 1007: log pseudolikelihood =  -157.4508  (not concave)
Iteration 1008: log pseudolikelihood = -157.45059  (not concave)
Iteration 1009: log pseudolikelihood = -157.45038  (not concave)
Iteration 1010: log pseudolikelihood = -157.45016  (not concave)
Iteration 1011: log pseudolikelihood = -157.44994  (not concave)
Iteration 1012: log pseudolikelihood = -157.44973  (not concave)
Iteration 1013: log pseudolikelihood = -157.44951  (not concave)
Iteration 1014: log pseudolikelihood = -157.44928  (not concave)
Iteration 1015: log pseudolikelihood = -157.44906  (not concave)
Iteration 1016: log pseudolikelihood = -157.44884  (not concave)
Iteration 1017: log pseudolikelihood = -157.44861  (not concave)
Iteration 1018: log pseudolikelihood = -157.44838  (not concave)
Iteration 1019: log pseudolikelihood = -157.44815  (not concave)
Iteration 1020: log pseudolikelihood = -157.44792  (not concave)
Iteration 1021: log pseudolikelihood = -157.44768  (not concave)
Iteration 1022: log pseudolikelihood = -157.44744  (not concave)
Iteration 1023: log pseudolikelihood = -157.44721  (not concave)
Iteration 1024: log pseudolikelihood = -157.44697  (not concave)
Iteration 1025: log pseudolikelihood = -157.44672  (not concave)
Iteration 1026: log pseudolikelihood = -157.44648  (not concave)
Iteration 1027: log pseudolikelihood = -157.44623  (not concave)
Iteration 1028: log pseudolikelihood = -157.44599  (not concave)
Iteration 1029: log pseudolikelihood = -157.44574  (not concave)
Iteration 1030: log pseudolikelihood = -157.44548  (not concave)
Iteration 1031: log pseudolikelihood = -157.44523  (not concave)
Iteration 1032: log pseudolikelihood = -157.44497  (not concave)
Iteration 1033: log pseudolikelihood = -157.44471  (not concave)
Iteration 1034: log pseudolikelihood = -157.44445  (not concave)
Iteration 1035: log pseudolikelihood = -157.44419  (not concave)
Iteration 1036: log pseudolikelihood = -157.44393  (not concave)
Iteration 1037: log pseudolikelihood = -157.44366  (not concave)
Iteration 1038: log pseudolikelihood = -157.44339  (not concave)
Iteration 1039: log pseudolikelihood = -157.44312  (not concave)
Iteration 1040: log pseudolikelihood = -157.44285  (not concave)
Iteration 1041: log pseudolikelihood = -157.44257  (not concave)
Iteration 1042: log pseudolikelihood = -157.44229  (not concave)
Iteration 1043: log pseudolikelihood = -157.44201  (not concave)
Iteration 1044: log pseudolikelihood = -157.44173  (not concave)
Iteration 1045: log pseudolikelihood = -157.44144  (not concave)
Iteration 1046: log pseudolikelihood = -157.44116  (not concave)
Iteration 1047: log pseudolikelihood = -157.44087  (not concave)
Iteration 1048: log pseudolikelihood = -157.44057  (not concave)
Iteration 1049: log pseudolikelihood = -157.44028  (not concave)
Iteration 1050: log pseudolikelihood = -157.43998  (not concave)
Iteration 1051: log pseudolikelihood = -157.43968  (not concave)
Iteration 1052: log pseudolikelihood = -157.43938  (not concave)
Iteration 1053: log pseudolikelihood = -157.43908  (not concave)
Iteration 1054: log pseudolikelihood = -157.43877  (not concave)
Iteration 1055: log pseudolikelihood = -157.43846  (not concave)
Iteration 1056: log pseudolikelihood = -157.43815  (not concave)
Iteration 1057: log pseudolikelihood = -157.43783  (not concave)
Iteration 1058: log pseudolikelihood = -157.43752  (not concave)
Iteration 1059: log pseudolikelihood =  -157.4372  (not concave)
Iteration 1060: log pseudolikelihood = -157.43687  (not concave)
Iteration 1061: log pseudolikelihood = -157.43655  (not concave)
Iteration 1062: log pseudolikelihood = -157.43622  (not concave)
Iteration 1063: log pseudolikelihood = -157.43589  (not concave)
Iteration 1064: log pseudolikelihood = -157.43556  (not concave)
Iteration 1065: log pseudolikelihood = -157.43522  (not concave)
Iteration 1066: log pseudolikelihood = -157.43488  (not concave)
Iteration 1067: log pseudolikelihood = -157.43454  (not concave)
Iteration 1068: log pseudolikelihood = -157.43419  (not concave)
Iteration 1069: log pseudolikelihood = -157.43385  (not concave)
Iteration 1070: log pseudolikelihood =  -157.4335  (not concave)
Iteration 1071: log pseudolikelihood = -157.43314  (not concave)
Iteration 1072: log pseudolikelihood = -157.43279  (not concave)
Iteration 1073: log pseudolikelihood = -157.43243  (not concave)
Iteration 1074: log pseudolikelihood = -157.43206  (not concave)
Iteration 1075: log pseudolikelihood =  -157.4317  (not concave)
Iteration 1076: log pseudolikelihood = -157.43133  (not concave)
Iteration 1077: log pseudolikelihood = -157.43096  (not concave)
Iteration 1078: log pseudolikelihood = -157.43058  (not concave)
Iteration 1079: log pseudolikelihood = -157.43021  (not concave)
Iteration 1080: log pseudolikelihood = -157.42982  (not concave)
Iteration 1081: log pseudolikelihood = -157.42944  (not concave)
Iteration 1082: log pseudolikelihood = -157.42905  (not concave)
Iteration 1083: log pseudolikelihood = -157.42866  (not concave)
Iteration 1084: log pseudolikelihood = -157.42827  (not concave)
Iteration 1085: log pseudolikelihood = -157.42787  (not concave)
Iteration 1086: log pseudolikelihood = -157.42747  (not concave)
Iteration 1087: log pseudolikelihood = -157.42707  (not concave)
Iteration 1088: log pseudolikelihood = -157.42666  (not concave)
Iteration 1089: log pseudolikelihood = -157.42625  (not concave)
Iteration 1090: log pseudolikelihood = -157.42584  (not concave)
Iteration 1091: log pseudolikelihood = -157.42542  (not concave)
Iteration 1092: log pseudolikelihood =   -157.425  (not concave)
Iteration 1093: log pseudolikelihood = -157.42457  (not concave)
Iteration 1094: log pseudolikelihood = -157.42415  (not concave)
Iteration 1095: log pseudolikelihood = -157.42371  (not concave)
Iteration 1096: log pseudolikelihood = -157.42328  (not concave)
Iteration 1097: log pseudolikelihood = -157.42284  (not concave)
Iteration 1098: log pseudolikelihood =  -157.4224  (not concave)
Iteration 1099: log pseudolikelihood = -157.42195  (not concave)
Iteration 1100: log pseudolikelihood =  -157.4215  (not concave)
Iteration 1101: log pseudolikelihood = -157.42105  (not concave)
Iteration 1102: log pseudolikelihood = -157.42059  (not concave)
Iteration 1103: log pseudolikelihood = -157.42013  (not concave)
Iteration 1104: log pseudolikelihood = -157.41967  (not concave)
Iteration 1105: log pseudolikelihood =  -157.4192  (not concave)
Iteration 1106: log pseudolikelihood = -157.41873  (not concave)
Iteration 1107: log pseudolikelihood = -157.41825  (not concave)
Iteration 1108: log pseudolikelihood = -157.41777  (not concave)
Iteration 1109: log pseudolikelihood = -157.41729  (not concave)
Iteration 1110: log pseudolikelihood =  -157.4168  (not concave)
Iteration 1111: log pseudolikelihood = -157.41631  (not concave)
Iteration 1112: log pseudolikelihood = -157.41581  (not concave)
Iteration 1113: log pseudolikelihood = -157.41531  (not concave)
Iteration 1114: log pseudolikelihood = -157.41481  (not concave)
Iteration 1115: log pseudolikelihood =  -157.4143  (not concave)
Iteration 1116: log pseudolikelihood = -157.41379  (not concave)
Iteration 1117: log pseudolikelihood = -157.41327  (not concave)
Iteration 1118: log pseudolikelihood = -157.41275  (not concave)
Iteration 1119: log pseudolikelihood = -157.41223  (not concave)
Iteration 1120: log pseudolikelihood =  -157.4117  (not concave)
Iteration 1121: log pseudolikelihood = -157.41117  (not concave)
Iteration 1122: log pseudolikelihood = -157.41063  (not concave)
Iteration 1123: log pseudolikelihood = -157.41009  (not concave)
Iteration 1124: log pseudolikelihood = -157.40954  (not concave)
Iteration 1125: log pseudolikelihood = -157.40899  (not concave)
Iteration 1126: log pseudolikelihood = -157.40844  (not concave)
Iteration 1127: log pseudolikelihood = -157.40788  (not concave)
Iteration 1128: log pseudolikelihood = -157.40732  (not concave)
Iteration 1129: log pseudolikelihood = -157.40675  (not concave)
Iteration 1130: log pseudolikelihood = -157.40618  (not concave)
Iteration 1131: log pseudolikelihood =  -157.4056  (not concave)
Iteration 1132: log pseudolikelihood = -157.40502  (not concave)
Iteration 1133: log pseudolikelihood = -157.40443  (not concave)
Iteration 1134: log pseudolikelihood = -157.40384  (not concave)
Iteration 1135: log pseudolikelihood = -157.40325  (not concave)
Iteration 1136: log pseudolikelihood = -157.40265  (not concave)
Iteration 1137: log pseudolikelihood = -157.40204  (not concave)
Iteration 1138: log pseudolikelihood = -157.40143  (not concave)
Iteration 1139: log pseudolikelihood = -157.40082  (not concave)
Iteration 1140: log pseudolikelihood =  -157.4002  (not concave)
Iteration 1141: log pseudolikelihood = -157.39958  (not concave)
Iteration 1142: log pseudolikelihood = -157.39895  (not concave)
Iteration 1143: log pseudolikelihood = -157.39831  (not concave)
Iteration 1144: log pseudolikelihood = -157.39768  (not concave)
Iteration 1145: log pseudolikelihood = -157.39703  (not concave)
Iteration 1146: log pseudolikelihood = -157.39639  (not concave)
Iteration 1147: log pseudolikelihood = -157.39573  (not concave)
Iteration 1148: log pseudolikelihood = -157.39508  (not concave)
Iteration 1149: log pseudolikelihood = -157.39441  (not concave)
Iteration 1150: log pseudolikelihood = -157.39375  (not concave)
Iteration 1151: log pseudolikelihood = -157.39307  (not concave)
Iteration 1152: log pseudolikelihood = -157.39239  (not concave)
Iteration 1153: log pseudolikelihood = -157.39171  (not concave)
Iteration 1154: log pseudolikelihood = -157.39102  (not concave)
Iteration 1155: log pseudolikelihood = -157.39033  (not concave)
Iteration 1156: log pseudolikelihood = -157.38963  (not concave)
Iteration 1157: log pseudolikelihood = -157.38893  (not concave)
Iteration 1158: log pseudolikelihood = -157.38822  (not concave)
Iteration 1159: log pseudolikelihood = -157.38751  (not concave)
Iteration 1160: log pseudolikelihood = -157.38679  (not concave)
Iteration 1161: log pseudolikelihood = -157.38607  (not concave)
Iteration 1162: log pseudolikelihood = -157.38534  (not concave)
Iteration 1163: log pseudolikelihood =  -157.3846  (not concave)
Iteration 1164: log pseudolikelihood = -157.38386  (not concave)
Iteration 1165: log pseudolikelihood = -157.38312  (not concave)
Iteration 1166: log pseudolikelihood = -157.38237  (not concave)
Iteration 1167: log pseudolikelihood = -157.38161  (not concave)
Iteration 1168: log pseudolikelihood = -157.38085  (not concave)
Iteration 1169: log pseudolikelihood = -157.38008  (not concave)
Iteration 1170: log pseudolikelihood = -157.37931  (not concave)
Iteration 1171: log pseudolikelihood = -157.37853  (not concave)
Iteration 1172: log pseudolikelihood = -157.37775  (not concave)
Iteration 1173: log pseudolikelihood = -157.37696  (not concave)
Iteration 1174: log pseudolikelihood = -157.37617  (not concave)
Iteration 1175: log pseudolikelihood = -157.37537  (not concave)
Iteration 1176: log pseudolikelihood = -157.37456  (not concave)
Iteration 1177: log pseudolikelihood = -157.37375  (not concave)
Iteration 1178: log pseudolikelihood = -157.37294  (not concave)
Iteration 1179: log pseudolikelihood = -157.37212  (not concave)
Iteration 1180: log pseudolikelihood = -157.37129  (not concave)
Iteration 1181: log pseudolikelihood = -157.37046  (not concave)
Iteration 1182: log pseudolikelihood = -157.36962  (not concave)
Iteration 1183: log pseudolikelihood = -157.36878  (not concave)
Iteration 1184: log pseudolikelihood = -157.36793  (not concave)
Iteration 1185: log pseudolikelihood = -157.36707  (not concave)
Iteration 1186: log pseudolikelihood = -157.36621  (not concave)
Iteration 1187: log pseudolikelihood = -157.36534  (not concave)
Iteration 1188: log pseudolikelihood = -157.36447  (not concave)
Iteration 1189: log pseudolikelihood = -157.36359  (not concave)
Iteration 1190: log pseudolikelihood = -157.36271  (not concave)
Iteration 1191: log pseudolikelihood = -157.36182  (not concave)
Iteration 1192: log pseudolikelihood = -157.36093  (not concave)
Iteration 1193: log pseudolikelihood = -157.36003  (not concave)
Iteration 1194: log pseudolikelihood = -157.35912  (not concave)
Iteration 1195: log pseudolikelihood = -157.35821  (not concave)
Iteration 1196: log pseudolikelihood = -157.35729  (not concave)
Iteration 1197: log pseudolikelihood = -157.35637  (not concave)
Iteration 1198: log pseudolikelihood = -157.35544  (not concave)
Iteration 1199: log pseudolikelihood =  -157.3545  (not concave)
Iteration 1200: log pseudolikelihood = -157.35356  (not concave)
Iteration 1201: log pseudolikelihood = -157.35261  (not concave)
Iteration 1202: log pseudolikelihood = -157.35166  (not concave)
Iteration 1203: log pseudolikelihood =  -157.3507  (not concave)
Iteration 1204: log pseudolikelihood = -157.34974  (not concave)
Iteration 1205: log pseudolikelihood = -157.34877  (not concave)
Iteration 1206: log pseudolikelihood =  -157.3478  (not concave)
Iteration 1207: log pseudolikelihood = -157.34681  (not concave)
Iteration 1208: log pseudolikelihood = -157.34583  (not concave)
Iteration 1209: log pseudolikelihood = -157.34483  (not concave)
Iteration 1210: log pseudolikelihood = -157.34384  (not concave)
Iteration 1211: log pseudolikelihood = -157.34283  (not concave)
Iteration 1212: log pseudolikelihood = -157.34182  (not concave)
Iteration 1213: log pseudolikelihood = -157.34081  (not concave)
Iteration 1214: log pseudolikelihood = -157.33978  (not concave)
Iteration 1215: log pseudolikelihood = -157.33876  (not concave)
Iteration 1216: log pseudolikelihood = -157.33772  (not concave)
Iteration 1217: log pseudolikelihood = -157.33669  (not concave)
Iteration 1218: log pseudolikelihood = -157.33564  (not concave)
Iteration 1219: log pseudolikelihood = -157.33459  (not concave)
Iteration 1220: log pseudolikelihood = -157.33353  (not concave)
Iteration 1221: log pseudolikelihood = -157.33247  (not concave)
Iteration 1222: log pseudolikelihood =  -157.3314  (not concave)
Iteration 1223: log pseudolikelihood = -157.33033  (not concave)
Iteration 1224: log pseudolikelihood = -157.32925  (not concave)
Iteration 1225: log pseudolikelihood = -157.32817  (not concave)
Iteration 1226: log pseudolikelihood = -157.32708  (not concave)
Iteration 1227: log pseudolikelihood = -157.32598  (not concave)
Iteration 1228: log pseudolikelihood = -157.32488  (not concave)
Iteration 1229: log pseudolikelihood = -157.32377  (not concave)
Iteration 1230: log pseudolikelihood = -157.32266  (not concave)
Iteration 1231: log pseudolikelihood = -157.32154  (not concave)
Iteration 1232: log pseudolikelihood = -157.32042  (not concave)
Iteration 1233: log pseudolikelihood = -157.31929  (not concave)
Iteration 1234: log pseudolikelihood = -157.31815  (not concave)
Iteration 1235: log pseudolikelihood = -157.31701  (not concave)
Iteration 1236: log pseudolikelihood = -157.31586  (not concave)
Iteration 1237: log pseudolikelihood = -157.31471  (not concave)
Iteration 1238: log pseudolikelihood = -157.31355  (not concave)
Iteration 1239: log pseudolikelihood = -157.31239  (not concave)
Iteration 1240: log pseudolikelihood = -157.31122  (not concave)
Iteration 1241: log pseudolikelihood = -157.31005  (not concave)
Iteration 1242: log pseudolikelihood = -157.30887  (not concave)
Iteration 1243: log pseudolikelihood = -157.30768  (not concave)
Iteration 1244: log pseudolikelihood = -157.30649  (not concave)
Iteration 1245: log pseudolikelihood =  -157.3053  (not concave)
Iteration 1246: log pseudolikelihood =  -157.3041  (not concave)
Iteration 1247: log pseudolikelihood = -157.30289  (not concave)
Iteration 1248: log pseudolikelihood = -157.30168  (not concave)
Iteration 1249: log pseudolikelihood = -157.30046  (not concave)
Iteration 1250: log pseudolikelihood = -157.29924  (not concave)
Iteration 1251: log pseudolikelihood = -157.29801  (not concave)
Iteration 1252: log pseudolikelihood = -157.29678  (not concave)
Iteration 1253: log pseudolikelihood = -157.29554  (not concave)
Iteration 1254: log pseudolikelihood =  -157.2943  (not concave)
Iteration 1255: log pseudolikelihood = -157.29305  (not concave)
Iteration 1256: log pseudolikelihood =  -157.2918  (not concave)
Iteration 1257: log pseudolikelihood = -157.29054  (not concave)
Iteration 1258: log pseudolikelihood = -157.28928  (not concave)
Iteration 1259: log pseudolikelihood = -157.28801  (not concave)
Iteration 1260: log pseudolikelihood = -157.28673  (not concave)
Iteration 1261: log pseudolikelihood = -157.28546  (not concave)
Iteration 1262: log pseudolikelihood = -157.28417  (not concave)
Iteration 1263: log pseudolikelihood = -157.28288  (not concave)
Iteration 1264: log pseudolikelihood = -157.28159  (not concave)
Iteration 1265: log pseudolikelihood = -157.28029  (not concave)
Iteration 1266: log pseudolikelihood = -157.27899  (not concave)
Iteration 1267: log pseudolikelihood = -157.27768  (not concave)
Iteration 1268: log pseudolikelihood = -157.27637  (not concave)
Iteration 1269: log pseudolikelihood = -157.27506  (not concave)
Iteration 1270: log pseudolikelihood = -157.27373  (not concave)
Iteration 1271: log pseudolikelihood = -157.27241  (not concave)
Iteration 1272: log pseudolikelihood = -157.27108  (not concave)
Iteration 1273: log pseudolikelihood = -157.26974  (not concave)
Iteration 1274: log pseudolikelihood =  -157.2684  (not concave)
Iteration 1275: log pseudolikelihood = -157.26706  (not concave)
Iteration 1276: log pseudolikelihood = -157.26571  (not concave)
Iteration 1277: log pseudolikelihood = -157.26436  (not concave)
Iteration 1278: log pseudolikelihood =   -157.263  (not concave)
Iteration 1279: log pseudolikelihood = -157.26164  (not concave)
Iteration 1280: log pseudolikelihood = -157.26027  (not concave)
Iteration 1281: log pseudolikelihood = -157.25891  (not concave)
Iteration 1282: log pseudolikelihood = -157.25753  (not concave)
Iteration 1283: log pseudolikelihood = -157.25615  (not concave)
Iteration 1284: log pseudolikelihood = -157.25477  (not concave)
Iteration 1285: log pseudolikelihood = -157.25338  (not concave)
Iteration 1286: log pseudolikelihood = -157.25199  (not concave)
Iteration 1287: log pseudolikelihood =  -157.2506  (not concave)
Iteration 1288: log pseudolikelihood =  -157.2492  (not concave)
Iteration 1289: log pseudolikelihood =  -157.2478  (not concave)
Iteration 1290: log pseudolikelihood = -157.24639  (not concave)
Iteration 1291: log pseudolikelihood = -157.24498  (not concave)
Iteration 1292: log pseudolikelihood = -157.24357  (not concave)
Iteration 1293: log pseudolikelihood = -157.24215  (not concave)
Iteration 1294: log pseudolikelihood = -157.24073  (not concave)
Iteration 1295: log pseudolikelihood = -157.23931  (not concave)
Iteration 1296: log pseudolikelihood = -157.23788  (not concave)
Iteration 1297: log pseudolikelihood = -157.23645  (not concave)
Iteration 1298: log pseudolikelihood = -157.23501  (not concave)
Iteration 1299: log pseudolikelihood = -157.23357  (not concave)
Iteration 1300: log pseudolikelihood = -157.23213  (not concave)
Iteration 1301: log pseudolikelihood = -157.23069  (not concave)
Iteration 1302: log pseudolikelihood = -157.22924  (not concave)
Iteration 1303: log pseudolikelihood = -157.22779  (not concave)
Iteration 1304: log pseudolikelihood = -157.22633  (not concave)
Iteration 1305: log pseudolikelihood = -157.22487  (not concave)
Iteration 1306: log pseudolikelihood = -157.22341  (not concave)
Iteration 1307: log pseudolikelihood = -157.22195  (not concave)
Iteration 1308: log pseudolikelihood = -157.22048  (not concave)
Iteration 1309: log pseudolikelihood = -157.21901  (not concave)
Iteration 1310: log pseudolikelihood = -157.21754  (not concave)
Iteration 1311: log pseudolikelihood = -157.21606  (not concave)
Iteration 1312: log pseudolikelihood = -157.21458  (not concave)
Iteration 1313: log pseudolikelihood =  -157.2131  (not concave)
Iteration 1314: log pseudolikelihood = -157.21162  (not concave)
Iteration 1315: log pseudolikelihood = -157.21013  (not concave)
Iteration 1316: log pseudolikelihood = -157.20864  (not concave)
Iteration 1317: log pseudolikelihood = -157.20715  (not concave)
Iteration 1318: log pseudolikelihood = -157.20565  (not concave)
Iteration 1319: log pseudolikelihood = -157.20416  (not concave)
Iteration 1320: log pseudolikelihood = -157.20266  (not concave)
Iteration 1321: log pseudolikelihood = -157.20116  (not concave)
Iteration 1322: log pseudolikelihood = -157.19965  (not concave)
Iteration 1323: log pseudolikelihood = -157.19815  (not concave)
Iteration 1324: log pseudolikelihood = -157.19664  (not concave)
Iteration 1325: log pseudolikelihood = -157.19513  (not concave)
Iteration 1326: log pseudolikelihood = -157.19361  (not concave)
Iteration 1327: log pseudolikelihood =  -157.1921  (not concave)
Iteration 1328: log pseudolikelihood = -157.19058  (not concave)
Iteration 1329: log pseudolikelihood = -157.18906  (not concave)
Iteration 1330: log pseudolikelihood = -157.18754  (not concave)
Iteration 1331: log pseudolikelihood = -157.18602  (not concave)
Iteration 1332: log pseudolikelihood = -157.18449  (not concave)
Iteration 1333: log pseudolikelihood = -157.18297  (not concave)
Iteration 1334: log pseudolikelihood = -157.18144  (not concave)
Iteration 1335: log pseudolikelihood = -157.17991  (not concave)
Iteration 1336: log pseudolikelihood = -157.17838  (not concave)
Iteration 1337: log pseudolikelihood = -157.17685  (not concave)
Iteration 1338: log pseudolikelihood = -157.17531  (not concave)
Iteration 1339: log pseudolikelihood = -157.17378  (not concave)
Iteration 1340: log pseudolikelihood = -157.17224  (not concave)
Iteration 1341: log pseudolikelihood =  -157.1707  (not concave)
Iteration 1342: log pseudolikelihood = -157.16916  (not concave)
Iteration 1343: log pseudolikelihood = -157.16762  (not concave)
Iteration 1344: log pseudolikelihood = -157.16608  (not concave)
Iteration 1345: log pseudolikelihood = -157.16454  (not concave)
Iteration 1346: log pseudolikelihood = -157.16299  (not concave)
Iteration 1347: log pseudolikelihood = -157.16145  (not concave)
Iteration 1348: log pseudolikelihood =  -157.1599  (not concave)
Iteration 1349: log pseudolikelihood = -157.15835  (not concave)
Iteration 1350: log pseudolikelihood =  -157.1568  (not concave)
Iteration 1351: log pseudolikelihood = -157.15525  (not concave)
Iteration 1352: log pseudolikelihood =  -157.1537  (not concave)
Iteration 1353: log pseudolikelihood = -157.15215  (not concave)
Iteration 1354: log pseudolikelihood =  -157.1506  (not concave)
Iteration 1355: log pseudolikelihood = -157.14905  (not concave)
Iteration 1356: log pseudolikelihood =  -157.1475  (not concave)
Iteration 1357: log pseudolikelihood = -157.14594  (not concave)
Iteration 1358: log pseudolikelihood = -157.14439  (not concave)
Iteration 1359: log pseudolikelihood = -157.14283  (not concave)
Iteration 1360: log pseudolikelihood = -157.14128  (not concave)
Iteration 1361: log pseudolikelihood = -157.13972  (not concave)
Iteration 1362: log pseudolikelihood = -157.13817  (not concave)
Iteration 1363: log pseudolikelihood = -157.13661  (not concave)
Iteration 1364: log pseudolikelihood = -157.13506  (not concave)
Iteration 1365: log pseudolikelihood =  -157.1335  (not concave)
Iteration 1366: log pseudolikelihood = -157.13194  (not concave)
Iteration 1367: log pseudolikelihood = -157.13039  (not concave)
Iteration 1368: log pseudolikelihood = -157.12883  (not concave)
Iteration 1369: log pseudolikelihood = -157.12727  (not concave)
Iteration 1370: log pseudolikelihood = -157.12571  (not concave)
Iteration 1371: log pseudolikelihood = -157.12416  (not concave)
Iteration 1372: log pseudolikelihood =  -157.1226  (not concave)
Iteration 1373: log pseudolikelihood = -157.12104  (not concave)
Iteration 1374: log pseudolikelihood = -157.11949  (not concave)
Iteration 1375: log pseudolikelihood = -157.11793  (not concave)
Iteration 1376: log pseudolikelihood = -157.11637  (not concave)
Iteration 1377: log pseudolikelihood = -157.11482  (not concave)
Iteration 1378: log pseudolikelihood = -157.11326  (not concave)
Iteration 1379: log pseudolikelihood = -157.11171  (not concave)
Iteration 1380: log pseudolikelihood = -157.11015  (not concave)
Iteration 1381: log pseudolikelihood =  -157.1086  (not concave)
Iteration 1382: log pseudolikelihood = -157.10705  (not concave)
Iteration 1383: log pseudolikelihood = -157.10549  (not concave)
Iteration 1384: log pseudolikelihood = -157.10394  (not concave)
Iteration 1385: log pseudolikelihood = -157.10239  (not concave)
Iteration 1386: log pseudolikelihood = -157.10084  (not concave)
Iteration 1387: log pseudolikelihood = -157.09929  (not concave)
Iteration 1388: log pseudolikelihood = -157.09774  (not concave)
Iteration 1389: log pseudolikelihood = -157.09619  (not concave)
Iteration 1390: log pseudolikelihood = -157.09464  (not concave)
Iteration 1391: log pseudolikelihood = -157.09309  
Iteration 1392: log pseudolikelihood = -156.82751  (backed up)
Iteration 1393: log pseudolikelihood = -156.50956  
Iteration 1394: log pseudolikelihood = -156.49458  
Iteration 1395: log pseudolikelihood = -156.49451  
Iteration 1396: log pseudolikelihood = -156.49451  

                                                Number of obs     =      4,952
                                                Wald chi2(13)     =      54.44
Log pseudolikelihood = -156.49451               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 139 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |    8.15188   9.017564     0.90   0.366     -9.52222    25.82598
     capcheither20 |    2.25496   .8922451     2.53   0.011     .5061914    4.003728
   regchangeeither |   2.664604   1.964051     1.36   0.175    -1.184866    6.514073
      chTEAltorBmt |  -.7927825   1.582099    -0.50   0.616     -3.89364    2.308075
           alformA |   3.012918   1.348489     2.23   0.025     .3699292    5.655907
             demdA |   .4620019   2.103203     0.22   0.826      -3.6602    4.584203
         asymmetry |  -1.867237   .7872095    -2.37   0.018    -3.410139   -.3243346
          nomicoop |  -2.564655   3.007316    -0.85   0.394    -8.458886    3.329577
            treaty |   .4383212   2.818843     0.16   0.876     -5.08651    5.963153
           milinst |   6.588104   2.291124     2.88   0.004     2.097583    11.07862
              time |  -.0451479   .3620849    -0.12   0.901    -.7548212    .6645253
        timesquare |  -.0034232   .0135761    -0.25   0.801    -.0300319    .0231855
          timecube |   .0000907    .000152     0.60   0.551    -.0002072    .0003886
             _cons |  -2.930142   1.818297    -1.61   0.107    -6.493938    .6336546
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat3 |   5.656983   1.904982     2.97   0.003     1.923287    9.390678
num_dems_on_border |  -.0687767   .2462624    -0.28   0.780     -.551442    .4138887
       num_borders |   .0165626   .1283257     0.13   0.897    -.2349513    .2680764
           coldwar |   2.137531   1.005369     2.13   0.033     .1670451    4.108017
       Lenergy_pop |  -.1711491    .096521    -1.77   0.076    -.3603269    .0180287
           Oil_exp |   1.369723   .5682511     2.41   0.016     .2559708    2.483474
           maj_pow |  -.2565662   .8699797    -0.29   0.768    -1.961695    1.448563
         kgd_rival |  -.1236251   .4726399    -0.26   0.794    -1.049982     .802732
             _cons |  -6.623434   1.248738    -5.30   0.000    -9.070917   -4.175952
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -292.12862
rescale:       log pseudolikelihood = -183.83716
rescale eq:    log pseudolikelihood = -183.83716

initial:       log pseudolikelihood = -183.83716
rescale:       log pseudolikelihood = -183.83716
rescale eq:    log pseudolikelihood = -183.83716
Iteration 0:   log pseudolikelihood = -183.83716  
Iteration 1:   log pseudolikelihood = -165.06037  (not concave)
Iteration 2:   log pseudolikelihood =  -163.0452  
Iteration 3:   log pseudolikelihood = -161.33921  
Iteration 4:   log pseudolikelihood = -159.46356  
Iteration 5:   log pseudolikelihood = -158.66248  
Iteration 6:   log pseudolikelihood = -157.84286  (not concave)
Iteration 7:   log pseudolikelihood = -157.80693  (not concave)
Iteration 8:   log pseudolikelihood = -157.80064  (not concave)
Iteration 9:   log pseudolikelihood = -157.79543  (not concave)
Iteration 10:  log pseudolikelihood = -157.79077  (not concave)
Iteration 11:  log pseudolikelihood = -157.78658  (not concave)
Iteration 12:  log pseudolikelihood = -157.78271  (not concave)
Iteration 13:  log pseudolikelihood = -157.77915  (not concave)
Iteration 14:  log pseudolikelihood = -157.77585  (not concave)
Iteration 15:  log pseudolikelihood = -157.77277  (not concave)
Iteration 16:  log pseudolikelihood =  -157.7699  (not concave)
Iteration 17:  log pseudolikelihood = -157.76719  (not concave)
Iteration 18:  log pseudolikelihood = -157.76463  (not concave)
Iteration 19:  log pseudolikelihood = -157.76221  (not concave)
Iteration 20:  log pseudolikelihood =  -157.7599  (not concave)
Iteration 21:  log pseudolikelihood = -157.75769  (not concave)
Iteration 22:  log pseudolikelihood = -157.75557  (not concave)
Iteration 23:  log pseudolikelihood = -157.75352  (not concave)
Iteration 24:  log pseudolikelihood = -157.75155  (not concave)
Iteration 25:  log pseudolikelihood = -157.74963  (not concave)
Iteration 26:  log pseudolikelihood = -157.74777  (not concave)
Iteration 27:  log pseudolikelihood = -157.74595  (not concave)
Iteration 28:  log pseudolikelihood = -157.74417  (not concave)
Iteration 29:  log pseudolikelihood = -157.74242  (not concave)
Iteration 30:  log pseudolikelihood = -157.74071  (not concave)
Iteration 31:  log pseudolikelihood = -157.73902  (not concave)
Iteration 32:  log pseudolikelihood = -157.73736  (not concave)
Iteration 33:  log pseudolikelihood = -157.73571  (not concave)
Iteration 34:  log pseudolikelihood = -157.73409  (not concave)
Iteration 35:  log pseudolikelihood = -157.73248  (not concave)
Iteration 36:  log pseudolikelihood = -157.73088  (not concave)
Iteration 37:  log pseudolikelihood =  -157.7293  (not concave)
Iteration 38:  log pseudolikelihood = -157.72772  (not concave)
Iteration 39:  log pseudolikelihood = -157.72615  (not concave)
Iteration 40:  log pseudolikelihood = -157.72459  (not concave)
Iteration 41:  log pseudolikelihood = -157.72304  (not concave)
Iteration 42:  log pseudolikelihood = -157.72149  (not concave)
Iteration 43:  log pseudolikelihood = -157.71995  (not concave)
Iteration 44:  log pseudolikelihood = -157.71841  (not concave)
Iteration 45:  log pseudolikelihood = -157.71687  (not concave)
Iteration 46:  log pseudolikelihood = -157.71533  (not concave)
Iteration 47:  log pseudolikelihood =  -157.7138  (not concave)
Iteration 48:  log pseudolikelihood = -157.71226  (not concave)
Iteration 49:  log pseudolikelihood = -157.71073  (not concave)
Iteration 50:  log pseudolikelihood = -157.70919  (not concave)
Iteration 51:  log pseudolikelihood = -157.70766  (not concave)
Iteration 52:  log pseudolikelihood = -157.70612  (not concave)
Iteration 53:  log pseudolikelihood = -157.70459  (not concave)
Iteration 54:  log pseudolikelihood = -157.70305  (not concave)
Iteration 55:  log pseudolikelihood = -157.70151  (not concave)
Iteration 56:  log pseudolikelihood = -157.69997  (not concave)
Iteration 57:  log pseudolikelihood = -157.69842  (not concave)
Iteration 58:  log pseudolikelihood = -157.69687  (not concave)
Iteration 59:  log pseudolikelihood = -157.69532  (not concave)
Iteration 60:  log pseudolikelihood = -157.69377  (not concave)
Iteration 61:  log pseudolikelihood = -157.69222  (not concave)
Iteration 62:  log pseudolikelihood = -157.69066  (not concave)
Iteration 63:  log pseudolikelihood = -157.68909  (not concave)
Iteration 64:  log pseudolikelihood = -157.68753  (not concave)
Iteration 65:  log pseudolikelihood = -157.68596  (not concave)
Iteration 66:  log pseudolikelihood = -157.68439  (not concave)
Iteration 67:  log pseudolikelihood = -157.68281  (not concave)
Iteration 68:  log pseudolikelihood = -157.68123  (not concave)
Iteration 69:  log pseudolikelihood = -157.67964  (not concave)
Iteration 70:  log pseudolikelihood = -157.67805  (not concave)
Iteration 71:  log pseudolikelihood = -157.67646  (not concave)
Iteration 72:  log pseudolikelihood = -157.67486  (not concave)
Iteration 73:  log pseudolikelihood = -157.67326  (not concave)
Iteration 74:  log pseudolikelihood = -157.67166  (not concave)
Iteration 75:  log pseudolikelihood = -157.67004  (not concave)
Iteration 76:  log pseudolikelihood = -157.66843  (not concave)
Iteration 77:  log pseudolikelihood = -157.66681  (not concave)
Iteration 78:  log pseudolikelihood = -157.66518  (not concave)
Iteration 79:  log pseudolikelihood = -157.66355  (not concave)
Iteration 80:  log pseudolikelihood = -157.66192  (not concave)
Iteration 81:  log pseudolikelihood = -157.66028  (not concave)
Iteration 82:  log pseudolikelihood = -157.65864  (not concave)
Iteration 83:  log pseudolikelihood = -157.65699  (not concave)
Iteration 84:  log pseudolikelihood = -157.65534  (not concave)
Iteration 85:  log pseudolikelihood = -157.65368  (not concave)
Iteration 86:  log pseudolikelihood = -157.65201  (not concave)
Iteration 87:  log pseudolikelihood = -157.65034  (not concave)
Iteration 88:  log pseudolikelihood = -157.64867  (not concave)
Iteration 89:  log pseudolikelihood = -157.64699  (not concave)
Iteration 90:  log pseudolikelihood = -157.64531  (not concave)
Iteration 91:  log pseudolikelihood = -157.64362  (not concave)
Iteration 92:  log pseudolikelihood = -157.64193  (not concave)
Iteration 93:  log pseudolikelihood = -157.64023  (not concave)
Iteration 94:  log pseudolikelihood = -157.63853  (not concave)
Iteration 95:  log pseudolikelihood = -157.63682  (not concave)
Iteration 96:  log pseudolikelihood =  -157.6351  (not concave)
Iteration 97:  log pseudolikelihood = -157.63338  (not concave)
Iteration 98:  log pseudolikelihood = -157.63166  (not concave)
Iteration 99:  log pseudolikelihood = -157.62993  (not concave)
Iteration 100: log pseudolikelihood =  -157.6282  (not concave)
Iteration 101: log pseudolikelihood = -157.62646  (not concave)
Iteration 102: log pseudolikelihood = -157.62471  (not concave)
Iteration 103: log pseudolikelihood = -157.62296  (not concave)
Iteration 104: log pseudolikelihood = -157.62121  (not concave)
Iteration 105: log pseudolikelihood = -157.61945  (not concave)
Iteration 106: log pseudolikelihood = -157.61769  (not concave)
Iteration 107: log pseudolikelihood = -157.61592  (not concave)
Iteration 108: log pseudolikelihood = -157.61414  (not concave)
Iteration 109: log pseudolikelihood = -157.61236  (not concave)
Iteration 110: log pseudolikelihood = -157.61058  (not concave)
Iteration 111: log pseudolikelihood = -157.60879  (not concave)
Iteration 112: log pseudolikelihood = -157.60699  (not concave)
Iteration 113: log pseudolikelihood = -157.60519  (not concave)
Iteration 114: log pseudolikelihood = -157.60339  (not concave)
Iteration 115: log pseudolikelihood = -157.60158  (not concave)
Iteration 116: log pseudolikelihood = -157.59977  (not concave)
Iteration 117: log pseudolikelihood = -157.59795  (not concave)
Iteration 118: log pseudolikelihood = -157.59612  (not concave)
Iteration 119: log pseudolikelihood =  -157.5943  (not concave)
Iteration 120: log pseudolikelihood = -157.59246  (not concave)
Iteration 121: log pseudolikelihood = -157.59063  (not concave)
Iteration 122: log pseudolikelihood = -157.58878  (not concave)
Iteration 123: log pseudolikelihood = -157.58694  (not concave)
Iteration 124: log pseudolikelihood = -157.58508  (not concave)
Iteration 125: log pseudolikelihood = -157.58323  (not concave)
Iteration 126: log pseudolikelihood = -157.58137  (not concave)
Iteration 127: log pseudolikelihood =  -157.5795  (not concave)
Iteration 128: log pseudolikelihood = -157.57763  (not concave)
Iteration 129: log pseudolikelihood = -157.57576  (not concave)
Iteration 130: log pseudolikelihood = -157.57388  (not concave)
Iteration 131: log pseudolikelihood =   -157.572  (not concave)
Iteration 132: log pseudolikelihood = -157.57011  (not concave)
Iteration 133: log pseudolikelihood = -157.56822  (not concave)
Iteration 134: log pseudolikelihood = -157.56632  (not concave)
Iteration 135: log pseudolikelihood = -157.56442  (not concave)
Iteration 136: log pseudolikelihood = -157.56252  (not concave)
Iteration 137: log pseudolikelihood = -157.56061  (not concave)
Iteration 138: log pseudolikelihood =  -157.5587  (not concave)
Iteration 139: log pseudolikelihood = -157.55678  (not concave)
Iteration 140: log pseudolikelihood = -157.55487  (not concave)
Iteration 141: log pseudolikelihood = -157.55294  (not concave)
Iteration 142: log pseudolikelihood = -157.55101  (not concave)
Iteration 143: log pseudolikelihood = -157.54908  (not concave)
Iteration 144: log pseudolikelihood = -157.54715  (not concave)
Iteration 145: log pseudolikelihood = -157.54521  (not concave)
Iteration 146: log pseudolikelihood = -157.54327  (not concave)
Iteration 147: log pseudolikelihood = -157.54132  (not concave)
Iteration 148: log pseudolikelihood = -157.53937  (not concave)
Iteration 149: log pseudolikelihood = -157.53742  (not concave)
Iteration 150: log pseudolikelihood = -157.53546  (not concave)
Iteration 151: log pseudolikelihood =  -157.5335  (not concave)
Iteration 152: log pseudolikelihood = -157.53154  (not concave)
Iteration 153: log pseudolikelihood = -157.52958  (not concave)
Iteration 154: log pseudolikelihood = -157.52761  (not concave)
Iteration 155: log pseudolikelihood = -157.52563  (not concave)
Iteration 156: log pseudolikelihood = -157.52366  (not concave)
Iteration 157: log pseudolikelihood = -157.52168  (not concave)
Iteration 158: log pseudolikelihood =  -157.5197  (not concave)
Iteration 159: log pseudolikelihood = -157.51772  (not concave)
Iteration 160: log pseudolikelihood = -157.51573  (not concave)
Iteration 161: log pseudolikelihood = -157.51374  (not concave)
Iteration 162: log pseudolikelihood = -157.51175  (not concave)
Iteration 163: log pseudolikelihood = -157.50975  (not concave)
Iteration 164: log pseudolikelihood = -157.50776  (not concave)
Iteration 165: log pseudolikelihood = -157.50576  (not concave)
Iteration 166: log pseudolikelihood = -157.50375  (not concave)
Iteration 167: log pseudolikelihood = -157.50175  (not concave)
Iteration 168: log pseudolikelihood = -157.49974  (not concave)
Iteration 169: log pseudolikelihood = -157.49773  (not concave)
Iteration 170: log pseudolikelihood = -157.49572  (not concave)
Iteration 171: log pseudolikelihood = -157.49371  (not concave)
Iteration 172: log pseudolikelihood = -157.49169  (not concave)
Iteration 173: log pseudolikelihood = -157.48968  (not concave)
Iteration 174: log pseudolikelihood = -157.48766  (not concave)
Iteration 175: log pseudolikelihood = -157.48564  (not concave)
Iteration 176: log pseudolikelihood = -157.48361  (not concave)
Iteration 177: log pseudolikelihood = -157.48159  (not concave)
Iteration 178: log pseudolikelihood = -157.47956  (not concave)
Iteration 179: log pseudolikelihood = -157.47754  (not concave)
Iteration 180: log pseudolikelihood = -157.47551  (not concave)
Iteration 181: log pseudolikelihood = -157.47348  (not concave)
Iteration 182: log pseudolikelihood = -157.47144  (not concave)
Iteration 183: log pseudolikelihood = -157.46941  (not concave)
Iteration 184: log pseudolikelihood = -157.46738  (not concave)
Iteration 185: log pseudolikelihood = -157.46534  (not concave)
Iteration 186: log pseudolikelihood =  -157.4633  (not concave)
Iteration 187: log pseudolikelihood = -157.46127  (not concave)
Iteration 188: log pseudolikelihood = -157.45923  (not concave)
Iteration 189: log pseudolikelihood = -157.45719  (not concave)
Iteration 190: log pseudolikelihood = -157.45515  (not concave)
Iteration 191: log pseudolikelihood = -157.45311  (not concave)
Iteration 192: log pseudolikelihood = -157.45106  (not concave)
Iteration 193: log pseudolikelihood = -157.44902  (not concave)
Iteration 194: log pseudolikelihood = -157.44698  (not concave)
Iteration 195: log pseudolikelihood = -157.44493  (not concave)
Iteration 196: log pseudolikelihood = -157.44289  (not concave)
Iteration 197: log pseudolikelihood = -157.44084  (not concave)
Iteration 198: log pseudolikelihood =  -157.4388  (not concave)
Iteration 199: log pseudolikelihood = -157.43675  (not concave)
Iteration 200: log pseudolikelihood = -157.43471  (not concave)
Iteration 201: log pseudolikelihood = -157.43266  (not concave)
Iteration 202: log pseudolikelihood = -157.43062  (not concave)
Iteration 203: log pseudolikelihood = -157.42857  (not concave)
Iteration 204: log pseudolikelihood = -157.42653  (not concave)
Iteration 205: log pseudolikelihood = -157.42448  (not concave)
Iteration 206: log pseudolikelihood = -157.42244  (not concave)
Iteration 207: log pseudolikelihood = -157.42039  (not concave)
Iteration 208: log pseudolikelihood = -157.41835  (not concave)
Iteration 209: log pseudolikelihood =  -157.4163  (not concave)
Iteration 210: log pseudolikelihood = -157.41426  (not concave)
Iteration 211: log pseudolikelihood = -157.41222  (not concave)
Iteration 212: log pseudolikelihood = -157.41017  (not concave)
Iteration 213: log pseudolikelihood = -157.40813  (not concave)
Iteration 214: log pseudolikelihood = -157.40609  (not concave)
Iteration 215: log pseudolikelihood = -157.40405  (not concave)
Iteration 216: log pseudolikelihood = -157.40201  (not concave)
Iteration 217: log pseudolikelihood = -157.39997  (not concave)
Iteration 218: log pseudolikelihood = -157.39793  (not concave)
Iteration 219: log pseudolikelihood =  -157.3959  (not concave)
Iteration 220: log pseudolikelihood = -157.39386  (not concave)
Iteration 221: log pseudolikelihood = -157.39182  (not concave)
Iteration 222: log pseudolikelihood = -157.38979  (not concave)
Iteration 223: log pseudolikelihood = -157.38776  (not concave)
Iteration 224: log pseudolikelihood = -157.38573  
Iteration 225: log pseudolikelihood = -157.25431  (not concave)
Iteration 226: log pseudolikelihood = -157.08744  (not concave)
Iteration 227: log pseudolikelihood = -156.93836  (not concave)
Iteration 228: log pseudolikelihood = -156.91496  (not concave)
Iteration 229: log pseudolikelihood = -156.89418  (not concave)
Iteration 230: log pseudolikelihood = -156.86651  (not concave)
Iteration 231: log pseudolikelihood = -156.83904  (not concave)
Iteration 232: log pseudolikelihood = -156.82297  (not concave)
Iteration 233: log pseudolikelihood =  -156.8007  (not concave)
Iteration 234: log pseudolikelihood = -156.79243  (not concave)
Iteration 235: log pseudolikelihood = -156.78449  (not concave)
Iteration 236: log pseudolikelihood = -156.76674  (not concave)
Iteration 237: log pseudolikelihood = -156.74021  (not concave)
Iteration 238: log pseudolikelihood = -156.73433  (not concave)
Iteration 239: log pseudolikelihood = -156.72943  (not concave)
Iteration 240: log pseudolikelihood = -156.72458  (not concave)
Iteration 241: log pseudolikelihood = -156.72068  (not concave)
Iteration 242: log pseudolikelihood = -156.71707  (not concave)
Iteration 243: log pseudolikelihood = -156.71352  (not concave)
Iteration 244: log pseudolikelihood = -156.71013  (not concave)
Iteration 245: log pseudolikelihood =  -156.7069  (not concave)
Iteration 246: log pseudolikelihood = -156.70379  (not concave)
Iteration 247: log pseudolikelihood = -156.70079  (not concave)
Iteration 248: log pseudolikelihood = -156.69792  (not concave)
Iteration 249: log pseudolikelihood = -156.69515  (not concave)
Iteration 250: log pseudolikelihood = -156.69249  (not concave)
Iteration 251: log pseudolikelihood = -156.68992  (not concave)
Iteration 252: log pseudolikelihood = -156.68745  (not concave)
Iteration 253: log pseudolikelihood = -156.68506  (not concave)
Iteration 254: log pseudolikelihood = -156.68276  (not concave)
Iteration 255: log pseudolikelihood = -156.68054  (not concave)
Iteration 256: log pseudolikelihood = -156.67839  (not concave)
Iteration 257: log pseudolikelihood = -156.67631  (not concave)
Iteration 258: log pseudolikelihood = -156.67431  (not concave)
Iteration 259: log pseudolikelihood = -156.67236  (not concave)
Iteration 260: log pseudolikelihood = -156.67049  (not concave)
Iteration 261: log pseudolikelihood = -156.66867  (not concave)
Iteration 262: log pseudolikelihood = -156.66691  (not concave)
Iteration 263: log pseudolikelihood =  -156.6652  (not concave)
Iteration 264: log pseudolikelihood = -156.66355  (not concave)
Iteration 265: log pseudolikelihood = -156.66195  (not concave)
Iteration 266: log pseudolikelihood =  -156.6604  (not concave)
Iteration 267: log pseudolikelihood = -156.65889  (not concave)
Iteration 268: log pseudolikelihood = -156.65743  (not concave)
Iteration 269: log pseudolikelihood = -156.65601  (not concave)
Iteration 270: log pseudolikelihood = -156.65464  (not concave)
Iteration 271: log pseudolikelihood =  -156.6533  (not concave)
Iteration 272: log pseudolikelihood =   -156.652  (not concave)
Iteration 273: log pseudolikelihood = -156.65074  (not concave)
Iteration 274: log pseudolikelihood = -156.64951  (not concave)
Iteration 275: log pseudolikelihood = -156.64832  (not concave)
Iteration 276: log pseudolikelihood = -156.64716  (not concave)
Iteration 277: log pseudolikelihood = -156.64604  (not concave)
Iteration 278: log pseudolikelihood = -156.64494  (not concave)
Iteration 279: log pseudolikelihood = -156.64387  (not concave)
Iteration 280: log pseudolikelihood = -156.64283  (not concave)
Iteration 281: log pseudolikelihood = -156.64182  (not concave)
Iteration 282: log pseudolikelihood = -156.64084  (not concave)
Iteration 283: log pseudolikelihood = -156.63988  (not concave)
Iteration 284: log pseudolikelihood = -156.63895  (not concave)
Iteration 285: log pseudolikelihood = -156.63803  (not concave)
Iteration 286: log pseudolikelihood = -156.63715  (not concave)
Iteration 287: log pseudolikelihood = -156.63628  (not concave)
Iteration 288: log pseudolikelihood = -156.63544  (not concave)
Iteration 289: log pseudolikelihood = -156.63461  (not concave)
Iteration 290: log pseudolikelihood = -156.63381  (not concave)
Iteration 291: log pseudolikelihood = -156.63303  (not concave)
Iteration 292: log pseudolikelihood = -156.63226  (not concave)
Iteration 293: log pseudolikelihood = -156.63151  (not concave)
Iteration 294: log pseudolikelihood = -156.63078  (not concave)
Iteration 295: log pseudolikelihood = -156.63007  (not concave)
Iteration 296: log pseudolikelihood = -156.62937  (not concave)
Iteration 297: log pseudolikelihood = -156.62869  (not concave)
Iteration 298: log pseudolikelihood = -156.62803  (not concave)
Iteration 299: log pseudolikelihood = -156.62737  (not concave)
Iteration 300: log pseudolikelihood = -156.62674  (not concave)
Iteration 301: log pseudolikelihood = -156.62612  (not concave)
Iteration 302: log pseudolikelihood = -156.62551  (not concave)
Iteration 303: log pseudolikelihood = -156.62491  (not concave)
Iteration 304: log pseudolikelihood = -156.62433  (not concave)
Iteration 305: log pseudolikelihood = -156.62375  (not concave)
Iteration 306: log pseudolikelihood = -156.62319  (not concave)
Iteration 307: log pseudolikelihood = -156.62264  (not concave)
Iteration 308: log pseudolikelihood = -156.62211  (not concave)
Iteration 309: log pseudolikelihood = -156.62158  (not concave)
Iteration 310: log pseudolikelihood = -156.62106  (not concave)
Iteration 311: log pseudolikelihood = -156.62056  (not concave)
Iteration 312: log pseudolikelihood = -156.62006  (not concave)
Iteration 313: log pseudolikelihood = -156.61957  (not concave)
Iteration 314: log pseudolikelihood = -156.61909  (not concave)
Iteration 315: log pseudolikelihood = -156.61862  (not concave)
Iteration 316: log pseudolikelihood = -156.61816  (not concave)
Iteration 317: log pseudolikelihood = -156.61771  (not concave)
Iteration 318: log pseudolikelihood = -156.61727  (not concave)
Iteration 319: log pseudolikelihood = -156.61683  (not concave)
Iteration 320: log pseudolikelihood =  -156.6164  (not concave)
Iteration 321: log pseudolikelihood = -156.61598  (not concave)
Iteration 322: log pseudolikelihood = -156.61556  (not concave)
Iteration 323: log pseudolikelihood = -156.61516  (not concave)
Iteration 324: log pseudolikelihood = -156.61476  (not concave)
Iteration 325: log pseudolikelihood = -156.61436  (not concave)
Iteration 326: log pseudolikelihood = -156.61397  (not concave)
Iteration 327: log pseudolikelihood = -156.61359  (not concave)
Iteration 328: log pseudolikelihood = -156.61322  (not concave)
Iteration 329: log pseudolikelihood = -156.61285  (not concave)
Iteration 330: log pseudolikelihood = -156.61248  (not concave)
Iteration 331: log pseudolikelihood = -156.61213  (not concave)
Iteration 332: log pseudolikelihood = -156.61177  (not concave)
Iteration 333: log pseudolikelihood = -156.61142  (not concave)
Iteration 334: log pseudolikelihood = -156.61108  (not concave)
Iteration 335: log pseudolikelihood = -156.61074  (not concave)
Iteration 336: log pseudolikelihood = -156.61041  (not concave)
Iteration 337: log pseudolikelihood = -156.61008  (not concave)
Iteration 338: log pseudolikelihood = -156.60976  (not concave)
Iteration 339: log pseudolikelihood = -156.60944  (not concave)
Iteration 340: log pseudolikelihood = -156.60912  (not concave)
Iteration 341: log pseudolikelihood = -156.60881  (not concave)
Iteration 342: log pseudolikelihood = -156.60851  (not concave)
Iteration 343: log pseudolikelihood =  -156.6082  (not concave)
Iteration 344: log pseudolikelihood =  -156.6079  (not concave)
Iteration 345: log pseudolikelihood = -156.60761  (not concave)
Iteration 346: log pseudolikelihood = -156.60732  (not concave)
Iteration 347: log pseudolikelihood = -156.60703  (not concave)
Iteration 348: log pseudolikelihood = -156.60674  (not concave)
Iteration 349: log pseudolikelihood = -156.60646  (not concave)
Iteration 350: log pseudolikelihood = -156.60619  (not concave)
Iteration 351: log pseudolikelihood = -156.60591  (not concave)
Iteration 352: log pseudolikelihood = -156.60564  (not concave)
Iteration 353: log pseudolikelihood = -156.60537  (not concave)
Iteration 354: log pseudolikelihood = -156.60511  (not concave)
Iteration 355: log pseudolikelihood = -156.60484  (not concave)
Iteration 356: log pseudolikelihood = -156.60458  (not concave)
Iteration 357: log pseudolikelihood = -156.60433  (not concave)
Iteration 358: log pseudolikelihood = -156.60407  (not concave)
Iteration 359: log pseudolikelihood = -156.60382  (not concave)
Iteration 360: log pseudolikelihood = -156.60357  (not concave)
Iteration 361: log pseudolikelihood = -156.60332  (not concave)
Iteration 362: log pseudolikelihood = -156.60308  (not concave)
Iteration 363: log pseudolikelihood = -156.60284  (not concave)
Iteration 364: log pseudolikelihood =  -156.6026  (not concave)
Iteration 365: log pseudolikelihood = -156.60236  (not concave)
Iteration 366: log pseudolikelihood = -156.60213  (not concave)
Iteration 367: log pseudolikelihood = -156.60189  (not concave)
Iteration 368: log pseudolikelihood = -156.60166  (not concave)
Iteration 369: log pseudolikelihood = -156.60143  (not concave)
Iteration 370: log pseudolikelihood = -156.60121  (not concave)
Iteration 371: log pseudolikelihood = -156.60098  (not concave)
Iteration 372: log pseudolikelihood = -156.60076  (not concave)
Iteration 373: log pseudolikelihood = -156.60054  (not concave)
Iteration 374: log pseudolikelihood = -156.60032  (not concave)
Iteration 375: log pseudolikelihood =  -156.6001  (not concave)
Iteration 376: log pseudolikelihood = -156.59989  (not concave)
Iteration 377: log pseudolikelihood = -156.59967  (not concave)
Iteration 378: log pseudolikelihood = -156.59946  (not concave)
Iteration 379: log pseudolikelihood = -156.59925  (not concave)
Iteration 380: log pseudolikelihood = -156.59904  (not concave)
Iteration 381: log pseudolikelihood = -156.59883  (not concave)
Iteration 382: log pseudolikelihood = -156.59863  (not concave)
Iteration 383: log pseudolikelihood = -156.59842  (not concave)
Iteration 384: log pseudolikelihood = -156.59822  (not concave)
Iteration 385: log pseudolikelihood = -156.59802  (not concave)
Iteration 386: log pseudolikelihood = -156.59782  (not concave)
Iteration 387: log pseudolikelihood = -156.59762  (not concave)
Iteration 388: log pseudolikelihood = -156.59742  (not concave)
Iteration 389: log pseudolikelihood = -156.59722  (not concave)
Iteration 390: log pseudolikelihood = -156.59703  (not concave)
Iteration 391: log pseudolikelihood = -156.59684  (not concave)
Iteration 392: log pseudolikelihood = -156.59664  (not concave)
Iteration 393: log pseudolikelihood = -156.59645  (not concave)
Iteration 394: log pseudolikelihood = -156.59626  (not concave)
Iteration 395: log pseudolikelihood = -156.59607  (not concave)
Iteration 396: log pseudolikelihood = -156.59588  (not concave)
Iteration 397: log pseudolikelihood =  -156.5957  (not concave)
Iteration 398: log pseudolikelihood = -156.59551  (not concave)
Iteration 399: log pseudolikelihood = -156.59532  (not concave)
Iteration 400: log pseudolikelihood = -156.59514  (not concave)
Iteration 401: log pseudolikelihood = -156.59496  (not concave)
Iteration 402: log pseudolikelihood = -156.59478  (not concave)
Iteration 403: log pseudolikelihood = -156.59459  (not concave)
Iteration 404: log pseudolikelihood = -156.59441  (not concave)
Iteration 405: log pseudolikelihood = -156.59423  (not concave)
Iteration 406: log pseudolikelihood = -156.59405  (not concave)
Iteration 407: log pseudolikelihood = -156.59388  (not concave)
Iteration 408: log pseudolikelihood =  -156.5937  (not concave)
Iteration 409: log pseudolikelihood = -156.59352  (not concave)
Iteration 410: log pseudolikelihood = -156.59335  (not concave)
Iteration 411: log pseudolikelihood = -156.59317  (not concave)
Iteration 412: log pseudolikelihood =   -156.593  (not concave)
Iteration 413: log pseudolikelihood = -156.59283  (not concave)
Iteration 414: log pseudolikelihood = -156.59265  (not concave)
Iteration 415: log pseudolikelihood = -156.59248  (not concave)
Iteration 416: log pseudolikelihood = -156.59231  (not concave)
Iteration 417: log pseudolikelihood = -156.59214  (not concave)
Iteration 418: log pseudolikelihood = -156.59197  (not concave)
Iteration 419: log pseudolikelihood =  -156.5918  (not concave)
Iteration 420: log pseudolikelihood = -156.59163  (not concave)
Iteration 421: log pseudolikelihood = -156.59146  (not concave)
Iteration 422: log pseudolikelihood = -156.59129  (not concave)
Iteration 423: log pseudolikelihood = -156.59113  (not concave)
Iteration 424: log pseudolikelihood = -156.59096  (not concave)
Iteration 425: log pseudolikelihood = -156.59079  (not concave)
Iteration 426: log pseudolikelihood = -156.59063  (not concave)
Iteration 427: log pseudolikelihood = -156.59046  (not concave)
Iteration 428: log pseudolikelihood =  -156.5903  (not concave)
Iteration 429: log pseudolikelihood = -156.59013  (not concave)
Iteration 430: log pseudolikelihood = -156.58997  (not concave)
Iteration 431: log pseudolikelihood =  -156.5898  (not concave)
Iteration 432: log pseudolikelihood = -156.58964  (not concave)
Iteration 433: log pseudolikelihood = -156.58948  (not concave)
Iteration 434: log pseudolikelihood = -156.58932  (not concave)
Iteration 435: log pseudolikelihood = -156.58915  (not concave)
Iteration 436: log pseudolikelihood = -156.58899  (not concave)
Iteration 437: log pseudolikelihood = -156.58883  (not concave)
Iteration 438: log pseudolikelihood = -156.58867  (not concave)
Iteration 439: log pseudolikelihood = -156.58851  (not concave)
Iteration 440: log pseudolikelihood = -156.58835  (not concave)
Iteration 441: log pseudolikelihood = -156.58819  (not concave)
Iteration 442: log pseudolikelihood = -156.58803  (not concave)
Iteration 443: log pseudolikelihood = -156.58787  (not concave)
Iteration 444: log pseudolikelihood = -156.58771  (not concave)
Iteration 445: log pseudolikelihood = -156.58755  (not concave)
Iteration 446: log pseudolikelihood = -156.58739  (not concave)
Iteration 447: log pseudolikelihood = -156.58723  (not concave)
Iteration 448: log pseudolikelihood = -156.58707  (not concave)
Iteration 449: log pseudolikelihood = -156.58691  (not concave)
Iteration 450: log pseudolikelihood = -156.58675  (not concave)
Iteration 451: log pseudolikelihood = -156.58659  (not concave)
Iteration 452: log pseudolikelihood = -156.58644  (not concave)
Iteration 453: log pseudolikelihood = -156.58628  (not concave)
Iteration 454: log pseudolikelihood = -156.58612  (not concave)
Iteration 455: log pseudolikelihood = -156.58596  (not concave)
Iteration 456: log pseudolikelihood =  -156.5858  (not concave)
Iteration 457: log pseudolikelihood = -156.58564  (not concave)
Iteration 458: log pseudolikelihood = -156.58549  (not concave)
Iteration 459: log pseudolikelihood = -156.58533  (not concave)
Iteration 460: log pseudolikelihood = -156.58517  (not concave)
Iteration 461: log pseudolikelihood = -156.58501  (not concave)
Iteration 462: log pseudolikelihood = -156.58486  (not concave)
Iteration 463: log pseudolikelihood =  -156.5847  (not concave)
Iteration 464: log pseudolikelihood = -156.58454  (not concave)
Iteration 465: log pseudolikelihood = -156.58438  (not concave)
Iteration 466: log pseudolikelihood = -156.58422  (not concave)
Iteration 467: log pseudolikelihood = -156.58407  (not concave)
Iteration 468: log pseudolikelihood = -156.58391  (not concave)
Iteration 469: log pseudolikelihood = -156.58375  (not concave)
Iteration 470: log pseudolikelihood = -156.58359  (not concave)
Iteration 471: log pseudolikelihood = -156.58343  (not concave)
Iteration 472: log pseudolikelihood = -156.58327  (not concave)
Iteration 473: log pseudolikelihood = -156.58312  (not concave)
Iteration 474: log pseudolikelihood = -156.58296  (not concave)
Iteration 475: log pseudolikelihood =  -156.5828  (not concave)
Iteration 476: log pseudolikelihood = -156.58264  (not concave)
Iteration 477: log pseudolikelihood = -156.58248  (not concave)
Iteration 478: log pseudolikelihood = -156.58232  (not concave)
Iteration 479: log pseudolikelihood = -156.58216  (not concave)
Iteration 480: log pseudolikelihood =   -156.582  (not concave)
Iteration 481: log pseudolikelihood = -156.58184  (not concave)
Iteration 482: log pseudolikelihood = -156.58168  (not concave)
Iteration 483: log pseudolikelihood = -156.58152  (not concave)
Iteration 484: log pseudolikelihood = -156.58136  (not concave)
Iteration 485: log pseudolikelihood =  -156.5812  (not concave)
Iteration 486: log pseudolikelihood = -156.58104  (not concave)
Iteration 487: log pseudolikelihood = -156.58088  (not concave)
Iteration 488: log pseudolikelihood = -156.58071  (not concave)
Iteration 489: log pseudolikelihood = -156.58055  (not concave)
Iteration 490: log pseudolikelihood = -156.58039  (not concave)
Iteration 491: log pseudolikelihood = -156.58023  (not concave)
Iteration 492: log pseudolikelihood = -156.58006  (not concave)
Iteration 493: log pseudolikelihood =  -156.5799  (not concave)
Iteration 494: log pseudolikelihood = -156.57974  (not concave)
Iteration 495: log pseudolikelihood = -156.57957  (not concave)
Iteration 496: log pseudolikelihood = -156.57941  (not concave)
Iteration 497: log pseudolikelihood = -156.57924  (not concave)
Iteration 498: log pseudolikelihood = -156.57908  (not concave)
Iteration 499: log pseudolikelihood = -156.57891  (not concave)
Iteration 500: log pseudolikelihood = -156.57874  (not concave)
Iteration 501: log pseudolikelihood = -156.57858  (not concave)
Iteration 502: log pseudolikelihood = -156.57841  (not concave)
Iteration 503: log pseudolikelihood = -156.57824  (not concave)
Iteration 504: log pseudolikelihood = -156.57808  (not concave)
Iteration 505: log pseudolikelihood = -156.57791  (not concave)
Iteration 506: log pseudolikelihood = -156.57774  (not concave)
Iteration 507: log pseudolikelihood = -156.57757  (not concave)
Iteration 508: log pseudolikelihood =  -156.5774  (not concave)
Iteration 509: log pseudolikelihood = -156.57723  (not concave)
Iteration 510: log pseudolikelihood = -156.57706  (not concave)
Iteration 511: log pseudolikelihood = -156.57688  (not concave)
Iteration 512: log pseudolikelihood = -156.57671  (not concave)
Iteration 513: log pseudolikelihood = -156.57654  (not concave)
Iteration 514: log pseudolikelihood = -156.57637  (not concave)
Iteration 515: log pseudolikelihood = -156.57619  (not concave)
Iteration 516: log pseudolikelihood = -156.57602  (not concave)
Iteration 517: log pseudolikelihood = -156.57584  (not concave)
Iteration 518: log pseudolikelihood = -156.57566  (not concave)
Iteration 519: log pseudolikelihood = -156.57549  (not concave)
Iteration 520: log pseudolikelihood = -156.57531  (not concave)
Iteration 521: log pseudolikelihood = -156.57513  (not concave)
Iteration 522: log pseudolikelihood = -156.57495  (not concave)
Iteration 523: log pseudolikelihood = -156.57477  (not concave)
Iteration 524: log pseudolikelihood = -156.57459  (not concave)
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Iteration 526: log pseudolikelihood = -156.57423  (not concave)
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Iteration 528: log pseudolikelihood = -156.57386  (not concave)
Iteration 529: log pseudolikelihood = -156.57368  (not concave)
Iteration 530: log pseudolikelihood =  -156.5735  (not concave)
Iteration 531: log pseudolikelihood = -156.57331  (not concave)
Iteration 532: log pseudolikelihood = -156.57312  (not concave)
Iteration 533: log pseudolikelihood = -156.57294  (not concave)
Iteration 534: log pseudolikelihood = -156.57275  (not concave)
Iteration 535: log pseudolikelihood = -156.57256  (not concave)
Iteration 536: log pseudolikelihood = -156.57237  (not concave)
Iteration 537: log pseudolikelihood = -156.57218  (not concave)
Iteration 538: log pseudolikelihood = -156.57199  (not concave)
Iteration 539: log pseudolikelihood = -156.57179  (not concave)
Iteration 540: log pseudolikelihood =  -156.5716  (not concave)
Iteration 541: log pseudolikelihood =  -156.5714  (not concave)
Iteration 542: log pseudolikelihood = -156.57121  (not concave)
Iteration 543: log pseudolikelihood = -156.57101  (not concave)
Iteration 544: log pseudolikelihood = -156.57081  (not concave)
Iteration 545: log pseudolikelihood = -156.57062  (not concave)
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Iteration 547: log pseudolikelihood = -156.57021  (not concave)
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Iteration 549: log pseudolikelihood = -156.56981  (not concave)
Iteration 550: log pseudolikelihood = -156.56961  (not concave)
Iteration 551: log pseudolikelihood =  -156.5694  (not concave)
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Iteration 553: log pseudolikelihood = -156.56899  (not concave)
Iteration 554: log pseudolikelihood = -156.56878  (not concave)
Iteration 555: log pseudolikelihood = -156.56857  (not concave)
Iteration 556: log pseudolikelihood = -156.56836  (not concave)
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Iteration 558: log pseudolikelihood = -156.56793  (not concave)
Iteration 559: log pseudolikelihood = -156.56772  (not concave)
Iteration 560: log pseudolikelihood =  -156.5675  (not concave)
Iteration 561: log pseudolikelihood = -156.56728  (not concave)
Iteration 562: log pseudolikelihood = -156.56707  (not concave)
Iteration 563: log pseudolikelihood = -156.56685  (not concave)
Iteration 564: log pseudolikelihood = -156.56662  (not concave)
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Iteration 566: log pseudolikelihood = -156.56618  (not concave)
Iteration 567: log pseudolikelihood = -156.56595  (not concave)
Iteration 568: log pseudolikelihood = -156.56573  (not concave)
Iteration 569: log pseudolikelihood =  -156.5655  (not concave)
Iteration 570: log pseudolikelihood = -156.56527  (not concave)
Iteration 571: log pseudolikelihood = -156.56504  (not concave)
Iteration 572: log pseudolikelihood = -156.56481  (not concave)
Iteration 573: log pseudolikelihood = -156.56457  (not concave)
Iteration 574: log pseudolikelihood = -156.56434  (not concave)
Iteration 575: log pseudolikelihood =  -156.5641  (not concave)
Iteration 576: log pseudolikelihood = -156.56386  (not concave)
Iteration 577: log pseudolikelihood = -156.56362  (not concave)
Iteration 578: log pseudolikelihood = -156.56338  (not concave)
Iteration 579: log pseudolikelihood = -156.56314  (not concave)
Iteration 580: log pseudolikelihood = -156.56289  (not concave)
Iteration 581: log pseudolikelihood = -156.56265  (not concave)
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Iteration 584: log pseudolikelihood =  -156.5619  (not concave)
Iteration 585: log pseudolikelihood = -156.56164  (not concave)
Iteration 586: log pseudolikelihood = -156.56139  (not concave)
Iteration 587: log pseudolikelihood = -156.56113  (not concave)
Iteration 588: log pseudolikelihood = -156.56087  (not concave)
Iteration 589: log pseudolikelihood = -156.56061  (not concave)
Iteration 590: log pseudolikelihood = -156.56035  (not concave)
Iteration 591: log pseudolikelihood = -156.56009  (not concave)
Iteration 592: log pseudolikelihood = -156.55982  (not concave)
Iteration 593: log pseudolikelihood = -156.55955  (not concave)
Iteration 594: log pseudolikelihood = -156.55928  (not concave)
Iteration 595: log pseudolikelihood = -156.55901  (not concave)
Iteration 596: log pseudolikelihood = -156.55874  (not concave)
Iteration 597: log pseudolikelihood = -156.55846  (not concave)
Iteration 598: log pseudolikelihood = -156.55819  (not concave)
Iteration 599: log pseudolikelihood = -156.55791  (not concave)
Iteration 600: log pseudolikelihood = -156.55762  (not concave)
Iteration 601: log pseudolikelihood = -156.55734  (not concave)
Iteration 602: log pseudolikelihood = -156.55705  (not concave)
Iteration 603: log pseudolikelihood = -156.55677  (not concave)
Iteration 604: log pseudolikelihood = -156.55648  (not concave)
Iteration 605: log pseudolikelihood = -156.55618  (not concave)
Iteration 606: log pseudolikelihood = -156.55589  (not concave)
Iteration 607: log pseudolikelihood = -156.55559  (not concave)
Iteration 608: log pseudolikelihood =  -156.5553  (not concave)
Iteration 609: log pseudolikelihood = -156.55499  (not concave)
Iteration 610: log pseudolikelihood = -156.55469  (not concave)
Iteration 611: log pseudolikelihood = -156.55439  (not concave)
Iteration 612: log pseudolikelihood = -156.55408  (not concave)
Iteration 613: log pseudolikelihood = -156.55377  (not concave)
Iteration 614: log pseudolikelihood = -156.55345  (not concave)
Iteration 615: log pseudolikelihood = -156.55314  (not concave)
Iteration 616: log pseudolikelihood = -156.55282  (not concave)
Iteration 617: log pseudolikelihood =  -156.5525  (not concave)
Iteration 618: log pseudolikelihood = -156.55218  (not concave)
Iteration 619: log pseudolikelihood = -156.55185  (not concave)
Iteration 620: log pseudolikelihood = -156.55153  (not concave)
Iteration 621: log pseudolikelihood =  -156.5512  (not concave)
Iteration 622: log pseudolikelihood = -156.55086  (not concave)
Iteration 623: log pseudolikelihood = -156.55053  (not concave)
Iteration 624: log pseudolikelihood = -156.55019  (not concave)
Iteration 625: log pseudolikelihood = -156.54985  (not concave)
Iteration 626: log pseudolikelihood = -156.54951  (not concave)
Iteration 627: log pseudolikelihood = -156.54916  (not concave)
Iteration 628: log pseudolikelihood = -156.54881  (not concave)
Iteration 629: log pseudolikelihood = -156.54846  (not concave)
Iteration 630: log pseudolikelihood =  -156.5481  (not concave)
Iteration 631: log pseudolikelihood = -156.54775  (not concave)
Iteration 632: log pseudolikelihood = -156.54739  (not concave)
Iteration 633: log pseudolikelihood = -156.54702  (not concave)
Iteration 634: log pseudolikelihood = -156.54666  (not concave)
Iteration 635: log pseudolikelihood = -156.54629  (not concave)
Iteration 636: log pseudolikelihood = -156.54592  (not concave)
Iteration 637: log pseudolikelihood = -156.54554  (not concave)
Iteration 638: log pseudolikelihood = -156.54516  (not concave)
Iteration 639: log pseudolikelihood = -156.54478  (not concave)
Iteration 640: log pseudolikelihood =  -156.5444  (not concave)
Iteration 641: log pseudolikelihood = -156.54401  (not concave)
Iteration 642: log pseudolikelihood = -156.54362  (not concave)
Iteration 643: log pseudolikelihood = -156.54323  (not concave)
Iteration 644: log pseudolikelihood = -156.54283  (not concave)
Iteration 645: log pseudolikelihood = -156.54243  (not concave)
Iteration 646: log pseudolikelihood = -156.54202  (not concave)
Iteration 647: log pseudolikelihood = -156.54162  (not concave)
Iteration 648: log pseudolikelihood = -156.54121  (not concave)
Iteration 649: log pseudolikelihood = -156.54079  (not concave)
Iteration 650: log pseudolikelihood = -156.54038  (not concave)
Iteration 651: log pseudolikelihood = -156.53996  (not concave)
Iteration 652: log pseudolikelihood = -156.53953  (not concave)
Iteration 653: log pseudolikelihood =  -156.5391  (not concave)
Iteration 654: log pseudolikelihood = -156.53867  (not concave)
Iteration 655: log pseudolikelihood = -156.53824  (not concave)
Iteration 656: log pseudolikelihood =  -156.5378  (not concave)
Iteration 657: log pseudolikelihood = -156.53736  (not concave)
Iteration 658: log pseudolikelihood = -156.53691  (not concave)
Iteration 659: log pseudolikelihood = -156.53646  (not concave)
Iteration 660: log pseudolikelihood = -156.53601  (not concave)
Iteration 661: log pseudolikelihood = -156.53555  (not concave)
Iteration 662: log pseudolikelihood = -156.53509  (not concave)
Iteration 663: log pseudolikelihood = -156.53463  (not concave)
Iteration 664: log pseudolikelihood = -156.53416  (not concave)
Iteration 665: log pseudolikelihood = -156.53369  (not concave)
Iteration 666: log pseudolikelihood = -156.53321  (not concave)
Iteration 667: log pseudolikelihood = -156.53273  (not concave)
Iteration 668: log pseudolikelihood = -156.53225  (not concave)
Iteration 669: log pseudolikelihood = -156.53176  (not concave)
Iteration 670: log pseudolikelihood = -156.53126  (not concave)
Iteration 671: log pseudolikelihood = -156.53077  (not concave)
Iteration 672: log pseudolikelihood = -156.53027  (not concave)
Iteration 673: log pseudolikelihood = -156.52976  (not concave)
Iteration 674: log pseudolikelihood = -156.52925  (not concave)
Iteration 675: log pseudolikelihood = -156.52874  (not concave)
Iteration 676: log pseudolikelihood = -156.52822  (not concave)
Iteration 677: log pseudolikelihood =  -156.5277  (not concave)
Iteration 678: log pseudolikelihood = -156.52717  (not concave)
Iteration 679: log pseudolikelihood = -156.52664  (not concave)
Iteration 680: log pseudolikelihood = -156.52611  (not concave)
Iteration 681: log pseudolikelihood = -156.52557  (not concave)
Iteration 682: log pseudolikelihood = -156.52502  (not concave)
Iteration 683: log pseudolikelihood = -156.52447  (not concave)
Iteration 684: log pseudolikelihood = -156.52392  (not concave)
Iteration 685: log pseudolikelihood = -156.52336  (not concave)
Iteration 686: log pseudolikelihood =  -156.5228  (not concave)
Iteration 687: log pseudolikelihood = -156.52223  (not concave)
Iteration 688: log pseudolikelihood = -156.52166  (not concave)
Iteration 689: log pseudolikelihood = -156.52109  (not concave)
Iteration 690: log pseudolikelihood =  -156.5205  (not concave)
Iteration 691: log pseudolikelihood = -156.51992  (not concave)
Iteration 692: log pseudolikelihood = -156.51933  (not concave)
Iteration 693: log pseudolikelihood = -156.51873  (not concave)
Iteration 694: log pseudolikelihood = -156.51813  (not concave)
Iteration 695: log pseudolikelihood = -156.51752  (not concave)
Iteration 696: log pseudolikelihood = -156.51691  (not concave)
Iteration 697: log pseudolikelihood =  -156.5163  (not concave)
Iteration 698: log pseudolikelihood = -156.51568  (not concave)
Iteration 699: log pseudolikelihood = -156.51505  (not concave)
Iteration 700: log pseudolikelihood = -156.51442  (not concave)
Iteration 701: log pseudolikelihood = -156.51378  (not concave)
Iteration 702: log pseudolikelihood = -156.51314  (not concave)
Iteration 703: log pseudolikelihood = -156.51249  (not concave)
Iteration 704: log pseudolikelihood = -156.51184  (not concave)
Iteration 705: log pseudolikelihood = -156.51119  (not concave)
Iteration 706: log pseudolikelihood = -156.51052  (not concave)
Iteration 707: log pseudolikelihood = -156.50986  (not concave)
Iteration 708: log pseudolikelihood = -156.50918  (not concave)
Iteration 709: log pseudolikelihood =  -156.5085  (not concave)
Iteration 710: log pseudolikelihood = -156.50782  (not concave)
Iteration 711: log pseudolikelihood = -156.50713  (not concave)
Iteration 712: log pseudolikelihood = -156.50643  (not concave)
Iteration 713: log pseudolikelihood = -156.50573  (not concave)
Iteration 714: log pseudolikelihood = -156.50503  (not concave)
Iteration 715: log pseudolikelihood = -156.50432  (not concave)
Iteration 716: log pseudolikelihood =  -156.5036  (not concave)
Iteration 717: log pseudolikelihood = -156.50287  (not concave)
Iteration 718: log pseudolikelihood = -156.50215  (not concave)
Iteration 719: log pseudolikelihood = -156.50141  (not concave)
Iteration 720: log pseudolikelihood = -156.50067  (not concave)
Iteration 721: log pseudolikelihood = -156.49992  (not concave)
Iteration 722: log pseudolikelihood = -156.49917  (not concave)
Iteration 723: log pseudolikelihood = -156.49841  (not concave)
Iteration 724: log pseudolikelihood = -156.49765  (not concave)
Iteration 725: log pseudolikelihood = -156.49688  (not concave)
Iteration 726: log pseudolikelihood = -156.49611  (not concave)
Iteration 727: log pseudolikelihood = -156.49532  (not concave)
Iteration 728: log pseudolikelihood = -156.49454  (not concave)
Iteration 729: log pseudolikelihood = -156.49374  (not concave)
Iteration 730: log pseudolikelihood = -156.49294  (not concave)
Iteration 731: log pseudolikelihood = -156.49214  (not concave)
Iteration 732: log pseudolikelihood = -156.49133  (not concave)
Iteration 733: log pseudolikelihood = -156.49051  (not concave)
Iteration 734: log pseudolikelihood = -156.48968  (not concave)
Iteration 735: log pseudolikelihood = -156.48885  (not concave)
Iteration 736: log pseudolikelihood = -156.48802  (not concave)
Iteration 737: log pseudolikelihood = -156.48717  (not concave)
Iteration 738: log pseudolikelihood = -156.48633  (not concave)
Iteration 739: log pseudolikelihood = -156.48547  (not concave)
Iteration 740: log pseudolikelihood = -156.48461  (not concave)
Iteration 741: log pseudolikelihood = -156.48374  (not concave)
Iteration 742: log pseudolikelihood = -156.48287  (not concave)
Iteration 743: log pseudolikelihood = -156.48199  (not concave)
Iteration 744: log pseudolikelihood =  -156.4811  (not concave)
Iteration 745: log pseudolikelihood = -156.48021  (not concave)
Iteration 746: log pseudolikelihood = -156.47931  (not concave)
Iteration 747: log pseudolikelihood =  -156.4784  (not concave)
Iteration 748: log pseudolikelihood = -156.47749  (not concave)
Iteration 749: log pseudolikelihood = -156.47657  (not concave)
Iteration 750: log pseudolikelihood = -156.47565  (not concave)
Iteration 751: log pseudolikelihood = -156.47471  (not concave)
Iteration 752: log pseudolikelihood = -156.47377  (not concave)
Iteration 753: log pseudolikelihood = -156.47283  (not concave)
Iteration 754: log pseudolikelihood = -156.47188  (not concave)
Iteration 755: log pseudolikelihood = -156.47092  (not concave)
Iteration 756: log pseudolikelihood = -156.46996  (not concave)
Iteration 757: log pseudolikelihood = -156.46898  (not concave)
Iteration 758: log pseudolikelihood = -156.46801  (not concave)
Iteration 759: log pseudolikelihood = -156.46702  (not concave)
Iteration 760: log pseudolikelihood = -156.46603  (not concave)
Iteration 761: log pseudolikelihood = -156.46503  (not concave)
Iteration 762: log pseudolikelihood = -156.46403  (not concave)
Iteration 763: log pseudolikelihood = -156.46302  (not concave)
Iteration 764: log pseudolikelihood =   -156.462  (not concave)
Iteration 765: log pseudolikelihood = -156.46098  (not concave)
Iteration 766: log pseudolikelihood = -156.45995  (not concave)
Iteration 767: log pseudolikelihood = -156.45891  (not concave)
Iteration 768: log pseudolikelihood = -156.45787  (not concave)
Iteration 769: log pseudolikelihood = -156.45682  (not concave)
Iteration 770: log pseudolikelihood = -156.45576  (not concave)
Iteration 771: log pseudolikelihood = -156.45469  (not concave)
Iteration 772: log pseudolikelihood = -156.45362  (not concave)
Iteration 773: log pseudolikelihood = -156.45255  (not concave)
Iteration 774: log pseudolikelihood = -156.45146  (not concave)
Iteration 775: log pseudolikelihood = -156.45037  (not concave)
Iteration 776: log pseudolikelihood = -156.44927  (not concave)
Iteration 777: log pseudolikelihood = -156.44817  (not concave)
Iteration 778: log pseudolikelihood = -156.44706  (not concave)
Iteration 779: log pseudolikelihood = -156.44594  (not concave)
Iteration 780: log pseudolikelihood = -156.44482  (not concave)
Iteration 781: log pseudolikelihood = -156.44369  (not concave)
Iteration 782: log pseudolikelihood = -156.44255  (not concave)
Iteration 783: log pseudolikelihood = -156.44141  (not concave)
Iteration 784: log pseudolikelihood = -156.44026  (not concave)
Iteration 785: log pseudolikelihood =  -156.4391  (not concave)
Iteration 786: log pseudolikelihood = -156.43794  (not concave)
Iteration 787: log pseudolikelihood = -156.43677  (not concave)
Iteration 788: log pseudolikelihood = -156.43559  (not concave)
Iteration 789: log pseudolikelihood = -156.43441  (not concave)
Iteration 790: log pseudolikelihood = -156.43322  (not concave)
Iteration 791: log pseudolikelihood = -156.43202  (not concave)
Iteration 792: log pseudolikelihood = -156.43082  (not concave)
Iteration 793: log pseudolikelihood = -156.42961  (not concave)
Iteration 794: log pseudolikelihood = -156.42839  (not concave)
Iteration 795: log pseudolikelihood = -156.42717  (not concave)
Iteration 796: log pseudolikelihood = -156.42594  (not concave)
Iteration 797: log pseudolikelihood =  -156.4247  (not concave)
Iteration 798: log pseudolikelihood = -156.42346  (not concave)
Iteration 799: log pseudolikelihood = -156.42221  (not concave)
Iteration 800: log pseudolikelihood = -156.42096  (not concave)
Iteration 801: log pseudolikelihood =  -156.4197  (not concave)
Iteration 802: log pseudolikelihood = -156.41843  (not concave)
Iteration 803: log pseudolikelihood = -156.41716  (not concave)
Iteration 804: log pseudolikelihood = -156.41588  (not concave)
Iteration 805: log pseudolikelihood = -156.41459  (not concave)
Iteration 806: log pseudolikelihood =  -156.4133  (not concave)
Iteration 807: log pseudolikelihood =   -156.412  (not concave)
Iteration 808: log pseudolikelihood =  -156.4107  (not concave)
Iteration 809: log pseudolikelihood = -156.40939  (not concave)
Iteration 810: log pseudolikelihood = -156.40807  (not concave)
Iteration 811: log pseudolikelihood = -156.40675  (not concave)
Iteration 812: log pseudolikelihood = -156.40542  (not concave)
Iteration 813: log pseudolikelihood = -156.40408  (not concave)
Iteration 814: log pseudolikelihood = -156.40274  (not concave)
Iteration 815: log pseudolikelihood = -156.40139  (not concave)
Iteration 816: log pseudolikelihood = -156.40004  (not concave)
Iteration 817: log pseudolikelihood = -156.39868  (not concave)
Iteration 818: log pseudolikelihood = -156.39732  (not concave)
Iteration 819: log pseudolikelihood = -156.39595  (not concave)
Iteration 820: log pseudolikelihood = -156.39457  (not concave)
Iteration 821: log pseudolikelihood = -156.39319  (not concave)
Iteration 822: log pseudolikelihood =  -156.3918  (not concave)
Iteration 823: log pseudolikelihood = -156.39041  (not concave)
Iteration 824: log pseudolikelihood = -156.38901  (not concave)
Iteration 825: log pseudolikelihood = -156.38761  (not concave)
Iteration 826: log pseudolikelihood =  -156.3862  (not concave)
Iteration 827: log pseudolikelihood = -156.38478  (not concave)
Iteration 828: log pseudolikelihood = -156.38336  (not concave)
Iteration 829: log pseudolikelihood = -156.38194  (not concave)
Iteration 830: log pseudolikelihood = -156.38051  (not concave)
Iteration 831: log pseudolikelihood = -156.37907  (not concave)
Iteration 832: log pseudolikelihood = -156.37763  (not concave)
Iteration 833: log pseudolikelihood = -156.37618  (not concave)
Iteration 834: log pseudolikelihood = -156.37473  (not concave)
Iteration 835: log pseudolikelihood = -156.37327  (not concave)
Iteration 836: log pseudolikelihood = -156.37181  (not concave)
Iteration 837: log pseudolikelihood = -156.37034  (not concave)
Iteration 838: log pseudolikelihood = -156.36887  (not concave)
Iteration 839: log pseudolikelihood = -156.36739  (not concave)
Iteration 840: log pseudolikelihood = -156.36591  (not concave)
Iteration 841: log pseudolikelihood = -156.36442  (not concave)
Iteration 842: log pseudolikelihood = -156.36293  (not concave)
Iteration 843: log pseudolikelihood = -156.36143  (not concave)
Iteration 844: log pseudolikelihood = -156.35993  (not concave)
Iteration 845: log pseudolikelihood = -156.35843  (not concave)
Iteration 846: log pseudolikelihood = -156.35692  (not concave)
Iteration 847: log pseudolikelihood =  -156.3554  (not concave)
Iteration 848: log pseudolikelihood = -156.35388  (not concave)
Iteration 849: log pseudolikelihood = -156.35236  (not concave)
Iteration 850: log pseudolikelihood = -156.35083  (not concave)
Iteration 851: log pseudolikelihood =  -156.3493  (not concave)
Iteration 852: log pseudolikelihood = -156.34776  (not concave)
Iteration 853: log pseudolikelihood = -156.34622  (not concave)
Iteration 854: log pseudolikelihood = -156.34468  (not concave)
Iteration 855: log pseudolikelihood = -156.34313  (not concave)
Iteration 856: log pseudolikelihood = -156.34158  (not concave)
Iteration 857: log pseudolikelihood = -156.34002  (not concave)
Iteration 858: log pseudolikelihood = -156.33846  (not concave)
Iteration 859: log pseudolikelihood =  -156.3369  (not concave)
Iteration 860: log pseudolikelihood = -156.33533  (not concave)
Iteration 861: log pseudolikelihood = -156.33376  (not concave)
Iteration 862: log pseudolikelihood = -156.33218  (not concave)
Iteration 863: log pseudolikelihood =  -156.3306  (not concave)
Iteration 864: log pseudolikelihood = -156.32902  (not concave)
Iteration 865: log pseudolikelihood = -156.32744  (not concave)
Iteration 866: log pseudolikelihood = -156.32585  (not concave)
Iteration 867: log pseudolikelihood = -156.32426  (not concave)
Iteration 868: log pseudolikelihood = -156.32266  (not concave)
Iteration 869: log pseudolikelihood = -156.32106  (not concave)
Iteration 870: log pseudolikelihood = -156.31946  (not concave)
Iteration 871: log pseudolikelihood = -156.31785  (not concave)
Iteration 872: log pseudolikelihood = -156.31625  (not concave)
Iteration 873: log pseudolikelihood = -156.31464  (not concave)
Iteration 874: log pseudolikelihood = -156.31302  (not concave)
Iteration 875: log pseudolikelihood = -156.31141  (not concave)
Iteration 876: log pseudolikelihood = -156.30979  (not concave)
Iteration 877: log pseudolikelihood = -156.30817  (not concave)
Iteration 878: log pseudolikelihood = -156.30654  (not concave)
Iteration 879: log pseudolikelihood = -156.30491  (not concave)
Iteration 880: log pseudolikelihood = -156.30328  (not concave)
Iteration 881: log pseudolikelihood = -156.30165  (not concave)
Iteration 882: log pseudolikelihood = -156.30002  (not concave)
Iteration 883: log pseudolikelihood = -156.29838  (not concave)
Iteration 884: log pseudolikelihood = -156.29674  (not concave)
Iteration 885: log pseudolikelihood =  -156.2951  (not concave)
Iteration 886: log pseudolikelihood = -156.29346  (not concave)
Iteration 887: log pseudolikelihood = -156.29181  (not concave)
Iteration 888: log pseudolikelihood = -156.29017  (not concave)
Iteration 889: log pseudolikelihood = -156.28852  (not concave)
Iteration 890: log pseudolikelihood = -156.28687  (not concave)
Iteration 891: log pseudolikelihood = -156.28521  (not concave)
Iteration 892: log pseudolikelihood = -156.28356  (not concave)
Iteration 893: log pseudolikelihood =  -156.2819  (not concave)
Iteration 894: log pseudolikelihood = -156.28024  (not concave)
Iteration 895: log pseudolikelihood = -156.27858  (not concave)
Iteration 896: log pseudolikelihood = -156.27692  (not concave)
Iteration 897: log pseudolikelihood = -156.27526  (not concave)
Iteration 898: log pseudolikelihood =  -156.2736  (not concave)
Iteration 899: log pseudolikelihood = -156.27193  (not concave)
Iteration 900: log pseudolikelihood = -156.27027  (not concave)
Iteration 901: log pseudolikelihood =  -156.2686  (not concave)
Iteration 902: log pseudolikelihood = -156.26693  (not concave)
Iteration 903: log pseudolikelihood = -156.26526  (not concave)
Iteration 904: log pseudolikelihood = -156.26359  (not concave)
Iteration 905: log pseudolikelihood = -156.26192  (not concave)
Iteration 906: log pseudolikelihood = -156.26025  (not concave)
Iteration 907: log pseudolikelihood = -156.25857  (not concave)
Iteration 908: log pseudolikelihood =  -156.2569  (not concave)
Iteration 909: log pseudolikelihood = -156.25522  (not concave)
Iteration 910: log pseudolikelihood = -156.25355  (not concave)
Iteration 911: log pseudolikelihood = -156.25187  (not concave)
Iteration 912: log pseudolikelihood =  -156.2502  (not concave)
Iteration 913: log pseudolikelihood = -156.24852  (not concave)
Iteration 914: log pseudolikelihood = -156.24684  (not concave)
Iteration 915: log pseudolikelihood = -156.24516  (not concave)
Iteration 916: log pseudolikelihood = -156.24349  (not concave)
Iteration 917: log pseudolikelihood = -156.24181  (not concave)
Iteration 918: log pseudolikelihood = -156.24013  (not concave)
Iteration 919: log pseudolikelihood = -156.23845  (not concave)
Iteration 920: log pseudolikelihood = -156.23677  (not concave)
Iteration 921: log pseudolikelihood = -156.23509  (not concave)
Iteration 922: log pseudolikelihood = -156.23341  (not concave)
Iteration 923: log pseudolikelihood = -156.23173  (not concave)
Iteration 924: log pseudolikelihood = -156.23006  (not concave)
Iteration 925: log pseudolikelihood = -156.22838  (not concave)
Iteration 926: log pseudolikelihood =  -156.2267  (not concave)
Iteration 927: log pseudolikelihood = -156.22502  (not concave)
Iteration 928: log pseudolikelihood = -156.22335  (not concave)
Iteration 929: log pseudolikelihood = -156.22167  (not concave)
Iteration 930: log pseudolikelihood = -156.21999  (not concave)
Iteration 931: log pseudolikelihood = -156.21832  (not concave)
Iteration 932: log pseudolikelihood = -156.21664  (not concave)
Iteration 933: log pseudolikelihood = -156.21496  (not concave)
Iteration 934: log pseudolikelihood = -156.21329  (not concave)
Iteration 935: log pseudolikelihood = -156.21162  (not concave)
Iteration 936: log pseudolikelihood = -156.20995  (not concave)
Iteration 937: log pseudolikelihood = -156.20827  (not concave)
Iteration 938: log pseudolikelihood =  -156.2066  (not concave)
Iteration 939: log pseudolikelihood = -156.20493  (not concave)
Iteration 940: log pseudolikelihood = -156.20326  (not concave)
Iteration 941: log pseudolikelihood = -156.20159  (not concave)
Iteration 942: log pseudolikelihood = -156.19993  (not concave)
Iteration 943: log pseudolikelihood = -156.19826  (not concave)
Iteration 944: log pseudolikelihood =  -156.1966  
Iteration 945: log pseudolikelihood =    -155.82  (backed up)
Iteration 946: log pseudolikelihood =  -155.6027  
Iteration 947: log pseudolikelihood = -155.59773  
Iteration 948: log pseudolikelihood = -155.59759  
Iteration 949: log pseudolikelihood = -155.59759  

                                                Number of obs     =      4,952
                                                Wald chi2(13)     =      54.45
Log pseudolikelihood = -155.59759               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 139 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   8.455529   11.73453     0.72   0.471    -14.54373    31.45478
     capcheither20 |    2.25924   .9270888     2.44   0.015     .4421796    4.076301
   regchangeeither |   2.637335   1.950802     1.35   0.176    -1.186165    6.460836
      chTEAltorBmt |  -.8159561   1.544946    -0.53   0.597    -3.843995    2.212083
           alformA |   2.990536    1.35262     2.21   0.027     .3394495    5.641623
             demdA |   .5877268   2.266626     0.26   0.795    -3.854779    5.030233
         asymmetry |  -1.927345   .7946613    -2.43   0.015    -3.484853    -.369838
          nomicoop |  -2.540548   3.014535    -0.84   0.399    -8.448928    3.367832
            treaty |   .5301808   2.806989     0.19   0.850    -4.971416    6.031778
           milinst |   6.483116   2.160056     3.00   0.003     2.249485    10.71675
              time |  -.0410771   .3674261    -0.11   0.911    -.7612191    .6790649
        timesquare |  -.0037081   .0138105    -0.27   0.788    -.0307761      .02336
          timecube |    .000095   .0001551     0.61   0.540     -.000209     .000399
             _cons |  -3.025298   1.897192    -1.59   0.111    -6.743726    .6931297
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat4 |   6.605669   1.922424     3.44   0.001     2.837788    10.37355
num_dems_on_border |  -.0768271   .2513014    -0.31   0.760    -.5693688    .4157147
       num_borders |   .0038475   .1303693     0.03   0.976    -.2516715    .2593666
           coldwar |   2.090417   .9895519     2.11   0.035     .1509307    4.029903
       Lenergy_pop |  -.1725076   .0963836    -1.79   0.073     -.361416    .0164009
           Oil_exp |   1.353905   .5650056     2.40   0.017      .246514    2.461295
           maj_pow |  -.1640482   .9044386    -0.18   0.856    -1.936715    1.608619
         kgd_rival |  -.2111843   .4610464    -0.46   0.647    -1.114819      .69245
             _cons |  -6.582796   1.228578    -5.36   0.000    -8.990765   -4.174827
------------------------------------------------------------------------------------
.initial:      log pseudolikelihood = -293.20275
rescale:       log pseudolikelihood =   -184.244
rescale eq:    log pseudolikelihood =   -184.244

initial:       log pseudolikelihood =   -184.244
rescale:       log pseudolikelihood =   -184.244
rescale eq:    log pseudolikelihood =   -184.244
Iteration 0:   log pseudolikelihood =   -184.244  
Iteration 1:   log pseudolikelihood = -166.02417  (not concave)
Iteration 2:   log pseudolikelihood = -164.05161  
Iteration 3:   log pseudolikelihood = -162.77703  
Iteration 4:   log pseudolikelihood =  -160.3414  
Iteration 5:   log pseudolikelihood = -159.54945  
Iteration 6:   log pseudolikelihood = -158.63173  (not concave)
Iteration 7:   log pseudolikelihood = -158.61125  (not concave)
Iteration 8:   log pseudolikelihood =  -158.6045  (not concave)
Iteration 9:   log pseudolikelihood = -158.60082  (not concave)
Iteration 10:  log pseudolikelihood = -158.59659  (not concave)
Iteration 11:  log pseudolikelihood = -158.59329  (not concave)
Iteration 12:  log pseudolikelihood = -158.59042  (not concave)
Iteration 13:  log pseudolikelihood = -158.58785  (not concave)
Iteration 14:  log pseudolikelihood = -158.58542  (not concave)
Iteration 15:  log pseudolikelihood = -158.58321  (not concave)
Iteration 16:  log pseudolikelihood = -158.58116  (not concave)
Iteration 17:  log pseudolikelihood = -158.57922  (not concave)
Iteration 18:  log pseudolikelihood = -158.57739  (not concave)
Iteration 19:  log pseudolikelihood = -158.57567  (not concave)
Iteration 20:  log pseudolikelihood = -158.57402  (not concave)
Iteration 21:  log pseudolikelihood = -158.57246  (not concave)
Iteration 22:  log pseudolikelihood = -158.57095  (not concave)
Iteration 23:  log pseudolikelihood = -158.56951  (not concave)
Iteration 24:  log pseudolikelihood = -158.56811  (not concave)
Iteration 25:  log pseudolikelihood = -158.56676  (not concave)
Iteration 26:  log pseudolikelihood = -158.56545  (not concave)
Iteration 27:  log pseudolikelihood = -158.56417  (not concave)
Iteration 28:  log pseudolikelihood = -158.56292  (not concave)
Iteration 29:  log pseudolikelihood =  -158.5617  (not concave)
Iteration 30:  log pseudolikelihood = -158.56049  (not concave)
Iteration 31:  log pseudolikelihood = -158.55931  (not concave)
Iteration 32:  log pseudolikelihood = -158.55815  (not concave)
Iteration 33:  log pseudolikelihood =   -158.557  (not concave)
Iteration 34:  log pseudolikelihood = -158.55587  (not concave)
Iteration 35:  log pseudolikelihood = -158.55475  (not concave)
Iteration 36:  log pseudolikelihood = -158.55364  (not concave)
Iteration 37:  log pseudolikelihood = -158.55253  (not concave)
Iteration 38:  log pseudolikelihood = -158.55144  (not concave)
Iteration 39:  log pseudolikelihood = -158.55035  (not concave)
Iteration 40:  log pseudolikelihood = -158.54927  (not concave)
Iteration 41:  log pseudolikelihood = -158.54819  (not concave)
Iteration 42:  log pseudolikelihood = -158.54711  (not concave)
Iteration 43:  log pseudolikelihood = -158.54604  (not concave)
Iteration 44:  log pseudolikelihood = -158.54498  (not concave)
Iteration 45:  log pseudolikelihood = -158.54391  (not concave)
Iteration 46:  log pseudolikelihood = -158.54285  (not concave)
Iteration 47:  log pseudolikelihood = -158.54179  (not concave)
Iteration 48:  log pseudolikelihood = -158.54073  (not concave)
Iteration 49:  log pseudolikelihood = -158.53966  (not concave)
Iteration 50:  log pseudolikelihood =  -158.5386  (not concave)
Iteration 51:  log pseudolikelihood = -158.53754  (not concave)
Iteration 52:  log pseudolikelihood = -158.53648  (not concave)
Iteration 53:  log pseudolikelihood = -158.53542  (not concave)
Iteration 54:  log pseudolikelihood = -158.53436  (not concave)
Iteration 55:  log pseudolikelihood = -158.53329  (not concave)
Iteration 56:  log pseudolikelihood = -158.53223  (not concave)
Iteration 57:  log pseudolikelihood = -158.53116  (not concave)
Iteration 58:  log pseudolikelihood = -158.53009  (not concave)
Iteration 59:  log pseudolikelihood = -158.52902  (not concave)
Iteration 60:  log pseudolikelihood = -158.52794  (not concave)
Iteration 61:  log pseudolikelihood = -158.52686  (not concave)
Iteration 62:  log pseudolikelihood = -158.52579  (not concave)
Iteration 63:  log pseudolikelihood =  -158.5247  (not concave)
Iteration 64:  log pseudolikelihood = -158.52362  (not concave)
Iteration 65:  log pseudolikelihood = -158.52253  (not concave)
Iteration 66:  log pseudolikelihood = -158.52144  (not concave)
Iteration 67:  log pseudolikelihood = -158.52035  (not concave)
Iteration 68:  log pseudolikelihood = -158.51925  (not concave)
Iteration 69:  log pseudolikelihood = -158.51815  (not concave)
Iteration 70:  log pseudolikelihood = -158.51705  (not concave)
Iteration 71:  log pseudolikelihood = -158.51594  (not concave)
Iteration 72:  log pseudolikelihood = -158.51483  (not concave)
Iteration 73:  log pseudolikelihood = -158.51371  (not concave)
Iteration 74:  log pseudolikelihood = -158.51259  (not concave)
Iteration 75:  log pseudolikelihood = -158.51147  (not concave)
Iteration 76:  log pseudolikelihood = -158.51034  (not concave)
Iteration 77:  log pseudolikelihood = -158.50921  (not concave)
Iteration 78:  log pseudolikelihood = -158.50808  (not concave)
Iteration 79:  log pseudolikelihood = -158.50694  (not concave)
Iteration 80:  log pseudolikelihood = -158.50579  (not concave)
Iteration 81:  log pseudolikelihood = -158.50465  (not concave)
Iteration 82:  log pseudolikelihood = -158.50349  (not concave)
Iteration 83:  log pseudolikelihood = -158.50234  (not concave)
Iteration 84:  log pseudolikelihood = -158.50117  (not concave)
Iteration 85:  log pseudolikelihood = -158.50001  (not concave)
Iteration 86:  log pseudolikelihood = -158.49884  (not concave)
Iteration 87:  log pseudolikelihood = -158.49766  (not concave)
Iteration 88:  log pseudolikelihood = -158.49648  (not concave)
Iteration 89:  log pseudolikelihood = -158.49529  (not concave)
Iteration 90:  log pseudolikelihood =  -158.4941  (not concave)
Iteration 91:  log pseudolikelihood = -158.49291  (not concave)
Iteration 92:  log pseudolikelihood = -158.49171  (not concave)
Iteration 93:  log pseudolikelihood =  -158.4905  (not concave)
Iteration 94:  log pseudolikelihood = -158.48929  (not concave)
Iteration 95:  log pseudolikelihood = -158.48808  (not concave)
Iteration 96:  log pseudolikelihood = -158.48686  (not concave)
Iteration 97:  log pseudolikelihood = -158.48563  (not concave)
Iteration 98:  log pseudolikelihood =  -158.4844  (not concave)
Iteration 99:  log pseudolikelihood = -158.48316  (not concave)
Iteration 100: log pseudolikelihood = -158.48192  (not concave)
Iteration 101: log pseudolikelihood = -158.48067  (not concave)
Iteration 102: log pseudolikelihood = -158.47942  (not concave)
Iteration 103: log pseudolikelihood = -158.47816  (not concave)
Iteration 104: log pseudolikelihood = -158.47689  (not concave)
Iteration 105: log pseudolikelihood = -158.47562  (not concave)
Iteration 106: log pseudolikelihood = -158.47435  (not concave)
Iteration 107: log pseudolikelihood = -158.47307  (not concave)
Iteration 108: log pseudolikelihood = -158.47178  (not concave)
Iteration 109: log pseudolikelihood = -158.47049  (not concave)
Iteration 110: log pseudolikelihood = -158.46919  (not concave)
Iteration 111: log pseudolikelihood = -158.46788  (not concave)
Iteration 112: log pseudolikelihood = -158.46657  (not concave)
Iteration 113: log pseudolikelihood = -158.46526  (not concave)
Iteration 114: log pseudolikelihood = -158.46393  (not concave)
Iteration 115: log pseudolikelihood = -158.46261  (not concave)
Iteration 116: log pseudolikelihood = -158.46127  (not concave)
Iteration 117: log pseudolikelihood = -158.45993  (not concave)
Iteration 118: log pseudolikelihood = -158.45859  (not concave)
Iteration 119: log pseudolikelihood = -158.45723  (not concave)
Iteration 120: log pseudolikelihood = -158.45587  (not concave)
Iteration 121: log pseudolikelihood = -158.45451  (not concave)
Iteration 122: log pseudolikelihood = -158.45314  (not concave)
Iteration 123: log pseudolikelihood = -158.45176  (not concave)
Iteration 124: log pseudolikelihood = -158.45038  (not concave)
Iteration 125: log pseudolikelihood = -158.44899  (not concave)
Iteration 126: log pseudolikelihood = -158.44759  (not concave)
Iteration 127: log pseudolikelihood = -158.44619  (not concave)
Iteration 128: log pseudolikelihood = -158.44478  (not concave)
Iteration 129: log pseudolikelihood = -158.44337  (not concave)
Iteration 130: log pseudolikelihood = -158.44195  (not concave)
Iteration 131: log pseudolikelihood = -158.44052  (not concave)
Iteration 132: log pseudolikelihood = -158.43909  (not concave)
Iteration 133: log pseudolikelihood = -158.43764  (not concave)
Iteration 134: log pseudolikelihood =  -158.4362  (not concave)
Iteration 135: log pseudolikelihood = -158.43474  (not concave)
Iteration 136: log pseudolikelihood = -158.43328  (not concave)
Iteration 137: log pseudolikelihood = -158.43182  (not concave)
Iteration 138: log pseudolikelihood = -158.43035  (not concave)
Iteration 139: log pseudolikelihood = -158.42887  (not concave)
Iteration 140: log pseudolikelihood = -158.42738  (not concave)
Iteration 141: log pseudolikelihood = -158.42589  (not concave)
Iteration 142: log pseudolikelihood = -158.42439  (not concave)
Iteration 143: log pseudolikelihood = -158.42288  (not concave)
Iteration 144: log pseudolikelihood = -158.42137  (not concave)
Iteration 145: log pseudolikelihood = -158.41985  (not concave)
Iteration 146: log pseudolikelihood = -158.41833  (not concave)
Iteration 147: log pseudolikelihood = -158.41679  (not concave)
Iteration 148: log pseudolikelihood = -158.41525  (not concave)
Iteration 149: log pseudolikelihood = -158.41371  (not concave)
Iteration 150: log pseudolikelihood = -158.41216  (not concave)
Iteration 151: log pseudolikelihood =  -158.4106  (not concave)
Iteration 152: log pseudolikelihood = -158.40903  (not concave)
Iteration 153: log pseudolikelihood = -158.40746  (not concave)
Iteration 154: log pseudolikelihood = -158.40588  (not concave)
Iteration 155: log pseudolikelihood = -158.40429  (not concave)
Iteration 156: log pseudolikelihood =  -158.4027  (not concave)
Iteration 157: log pseudolikelihood =  -158.4011  (not concave)
Iteration 158: log pseudolikelihood =  -158.3995  (not concave)
Iteration 159: log pseudolikelihood = -158.39789  (not concave)
Iteration 160: log pseudolikelihood = -158.39627  (not concave)
Iteration 161: log pseudolikelihood = -158.39464  (not concave)
Iteration 162: log pseudolikelihood = -158.39301  (not concave)
Iteration 163: log pseudolikelihood = -158.39137  (not concave)
Iteration 164: log pseudolikelihood = -158.38973  (not concave)
Iteration 165: log pseudolikelihood = -158.38807  (not concave)
Iteration 166: log pseudolikelihood = -158.38641  (not concave)
Iteration 167: log pseudolikelihood = -158.38475  (not concave)
Iteration 168: log pseudolikelihood = -158.38308  (not concave)
Iteration 169: log pseudolikelihood =  -158.3814  (not concave)
Iteration 170: log pseudolikelihood = -158.37971  (not concave)
Iteration 171: log pseudolikelihood = -158.37802  (not concave)
Iteration 172: log pseudolikelihood = -158.37632  (not concave)
Iteration 173: log pseudolikelihood = -158.37462  (not concave)
Iteration 174: log pseudolikelihood = -158.37291  (not concave)
Iteration 175: log pseudolikelihood = -158.37119  (not concave)
Iteration 176: log pseudolikelihood = -158.36946  (not concave)
Iteration 177: log pseudolikelihood = -158.36773  (not concave)
Iteration 178: log pseudolikelihood =   -158.366  (not concave)
Iteration 179: log pseudolikelihood = -158.36425  (not concave)
Iteration 180: log pseudolikelihood =  -158.3625  (not concave)
Iteration 181: log pseudolikelihood = -158.36074  (not concave)
Iteration 182: log pseudolikelihood = -158.35898  (not concave)
Iteration 183: log pseudolikelihood = -158.35721  (not concave)
Iteration 184: log pseudolikelihood = -158.35544  (not concave)
Iteration 185: log pseudolikelihood = -158.35366  (not concave)
Iteration 186: log pseudolikelihood = -158.35187  (not concave)
Iteration 187: log pseudolikelihood = -158.35007  (not concave)
Iteration 188: log pseudolikelihood = -158.34827  (not concave)
Iteration 189: log pseudolikelihood = -158.34647  (not concave)
Iteration 190: log pseudolikelihood = -158.34465  (not concave)
Iteration 191: log pseudolikelihood = -158.34284  (not concave)
Iteration 192: log pseudolikelihood = -158.34101  (not concave)
Iteration 193: log pseudolikelihood = -158.33918  (not concave)
Iteration 194: log pseudolikelihood = -158.33734  (not concave)
Iteration 195: log pseudolikelihood =  -158.3355  (not concave)
Iteration 196: log pseudolikelihood = -158.33365  (not concave)
Iteration 197: log pseudolikelihood =  -158.3318  (not concave)
Iteration 198: log pseudolikelihood = -158.32994  (not concave)
Iteration 199: log pseudolikelihood = -158.32807  (not concave)
Iteration 200: log pseudolikelihood =  -158.3262  (not concave)
Iteration 201: log pseudolikelihood = -158.32433  (not concave)
Iteration 202: log pseudolikelihood = -158.32244  (not concave)
Iteration 203: log pseudolikelihood = -158.32055  (not concave)
Iteration 204: log pseudolikelihood = -158.31866  (not concave)
Iteration 205: log pseudolikelihood = -158.31676  (not concave)
Iteration 206: log pseudolikelihood = -158.31486  (not concave)
Iteration 207: log pseudolikelihood = -158.31295  (not concave)
Iteration 208: log pseudolikelihood = -158.31103  (not concave)
Iteration 209: log pseudolikelihood = -158.30911  (not concave)
Iteration 210: log pseudolikelihood = -158.30719  (not concave)
Iteration 211: log pseudolikelihood = -158.30526  (not concave)
Iteration 212: log pseudolikelihood = -158.30332  (not concave)
Iteration 213: log pseudolikelihood = -158.30138  (not concave)
Iteration 214: log pseudolikelihood = -158.29944  (not concave)
Iteration 215: log pseudolikelihood = -158.29748  (not concave)
Iteration 216: log pseudolikelihood = -158.29553  (not concave)
Iteration 217: log pseudolikelihood = -158.29357  (not concave)
Iteration 218: log pseudolikelihood =  -158.2916  (not concave)
Iteration 219: log pseudolikelihood = -158.28963  (not concave)
Iteration 220: log pseudolikelihood = -158.28766  (not concave)
Iteration 221: log pseudolikelihood = -158.28568  (not concave)
Iteration 222: log pseudolikelihood =  -158.2837  (not concave)
Iteration 223: log pseudolikelihood = -158.28171  (not concave)
Iteration 224: log pseudolikelihood = -158.27972  (not concave)
Iteration 225: log pseudolikelihood = -158.27772  (not concave)
Iteration 226: log pseudolikelihood = -158.27572  (not concave)
Iteration 227: log pseudolikelihood = -158.27372  (not concave)
Iteration 228: log pseudolikelihood = -158.27171  (not concave)
Iteration 229: log pseudolikelihood =  -158.2697  (not concave)
Iteration 230: log pseudolikelihood = -158.26768  (not concave)
Iteration 231: log pseudolikelihood = -158.26566  (not concave)
Iteration 232: log pseudolikelihood = -158.26364  (not concave)
Iteration 233: log pseudolikelihood = -158.26161  (not concave)
Iteration 234: log pseudolikelihood = -158.25958  (not concave)
Iteration 235: log pseudolikelihood = -158.25754  (not concave)
Iteration 236: log pseudolikelihood =  -158.2555  (not concave)
Iteration 237: log pseudolikelihood = -158.25346  (not concave)
Iteration 238: log pseudolikelihood = -158.25142  (not concave)
Iteration 239: log pseudolikelihood = -158.24937  (not concave)
Iteration 240: log pseudolikelihood = -158.24732  (not concave)
Iteration 241: log pseudolikelihood = -158.24526  (not concave)
Iteration 242: log pseudolikelihood =  -158.2432  (not concave)
Iteration 243: log pseudolikelihood = -158.24114  (not concave)
Iteration 244: log pseudolikelihood = -158.23908  (not concave)
Iteration 245: log pseudolikelihood = -158.23701  (not concave)
Iteration 246: log pseudolikelihood = -158.23494  (not concave)
Iteration 247: log pseudolikelihood = -158.23287  (not concave)
Iteration 248: log pseudolikelihood =  -158.2308  (not concave)
Iteration 249: log pseudolikelihood = -158.22872  (not concave)
Iteration 250: log pseudolikelihood = -158.22664  (not concave)
Iteration 251: log pseudolikelihood = -158.22456  (not concave)
Iteration 252: log pseudolikelihood = -158.22247  (not concave)
Iteration 253: log pseudolikelihood = -158.22039  (not concave)
Iteration 254: log pseudolikelihood =  -158.2183  (not concave)
Iteration 255: log pseudolikelihood = -158.21621  (not concave)
Iteration 256: log pseudolikelihood = -158.21412  (not concave)
Iteration 257: log pseudolikelihood = -158.21202  (not concave)
Iteration 258: log pseudolikelihood = -158.20993  (not concave)
Iteration 259: log pseudolikelihood = -158.20783  (not concave)
Iteration 260: log pseudolikelihood = -158.20573  (not concave)
Iteration 261: log pseudolikelihood = -158.20363  (not concave)
Iteration 262: log pseudolikelihood = -158.20152  (not concave)
Iteration 263: log pseudolikelihood = -158.19942  (not concave)
Iteration 264: log pseudolikelihood = -158.19731  (not concave)
Iteration 265: log pseudolikelihood = -158.19521  (not concave)
Iteration 266: log pseudolikelihood =  -158.1931  (not concave)
Iteration 267: log pseudolikelihood = -158.19099  (not concave)
Iteration 268: log pseudolikelihood = -158.18888  (not concave)
Iteration 269: log pseudolikelihood = -158.18677  (not concave)
Iteration 270: log pseudolikelihood = -158.18466  (not concave)
Iteration 271: log pseudolikelihood = -158.18254  (not concave)
Iteration 272: log pseudolikelihood = -158.18043  (not concave)
Iteration 273: log pseudolikelihood = -158.17831  (not concave)
Iteration 274: log pseudolikelihood =  -158.1762  (not concave)
Iteration 275: log pseudolikelihood = -158.17408  (not concave)
Iteration 276: log pseudolikelihood = -158.17197  (not concave)
Iteration 277: log pseudolikelihood = -158.16985  (not concave)
Iteration 278: log pseudolikelihood = -158.16773  (not concave)
Iteration 279: log pseudolikelihood = -158.16562  (not concave)
Iteration 280: log pseudolikelihood =  -158.1635  (not concave)
Iteration 281: log pseudolikelihood = -158.16138  (not concave)
Iteration 282: log pseudolikelihood = -158.15926  (not concave)
Iteration 283: log pseudolikelihood = -158.15715  (not concave)
Iteration 284: log pseudolikelihood = -158.15503  (not concave)
Iteration 285: log pseudolikelihood = -158.15291  (not concave)
Iteration 286: log pseudolikelihood =  -158.1508  (not concave)
Iteration 287: log pseudolikelihood = -158.14868  (not concave)
Iteration 288: log pseudolikelihood = -158.14656  (not concave)
Iteration 289: log pseudolikelihood = -158.14445  (not concave)
Iteration 290: log pseudolikelihood = -158.14233  (not concave)
Iteration 291: log pseudolikelihood = -158.14022  (not concave)
Iteration 292: log pseudolikelihood =  -158.1381  (not concave)
Iteration 293: log pseudolikelihood = -158.13599  (not concave)
Iteration 294: log pseudolikelihood = -158.13388  (not concave)
Iteration 295: log pseudolikelihood = -158.13177  (not concave)
Iteration 296: log pseudolikelihood = -158.12966  (not concave)
Iteration 297: log pseudolikelihood = -158.12754  (not concave)
Iteration 298: log pseudolikelihood = -158.12544  (not concave)
Iteration 299: log pseudolikelihood = -158.12333  (not concave)
Iteration 300: log pseudolikelihood = -158.12122  (not concave)
Iteration 301: log pseudolikelihood = -158.11912  (not concave)
Iteration 302: log pseudolikelihood = -158.11701  (not concave)
Iteration 303: log pseudolikelihood = -158.11491  (not concave)
Iteration 304: log pseudolikelihood = -158.11281  (not concave)
Iteration 305: log pseudolikelihood = -158.11071  (not concave)
Iteration 306: log pseudolikelihood = -158.10861  (not concave)
Iteration 307: log pseudolikelihood = -158.10651  (not concave)
Iteration 308: log pseudolikelihood = -158.10442  (not concave)
Iteration 309: log pseudolikelihood = -158.10232  (not concave)
Iteration 310: log pseudolikelihood = -158.10023  (not concave)
Iteration 311: log pseudolikelihood = -158.09814  (not concave)
Iteration 312: log pseudolikelihood = -158.09605  (not concave)
Iteration 313: log pseudolikelihood = -158.09397  (not concave)
Iteration 314: log pseudolikelihood = -158.09188  (not concave)
Iteration 315: log pseudolikelihood =  -158.0898  (not concave)
Iteration 316: log pseudolikelihood = -158.08772  
Iteration 317: log pseudolikelihood = -157.49561  (not concave)
Iteration 318: log pseudolikelihood = -157.34398  (not concave)
Iteration 319: log pseudolikelihood = -157.30398  (not concave)
Iteration 320: log pseudolikelihood = -157.27651  (not concave)
Iteration 321: log pseudolikelihood = -157.25405  (not concave)
Iteration 322: log pseudolikelihood = -157.23407  (not concave)
Iteration 323: log pseudolikelihood = -157.22124  (not concave)
Iteration 324: log pseudolikelihood = -157.21207  (not concave)
Iteration 325: log pseudolikelihood =  -157.2036  (not concave)
Iteration 326: log pseudolikelihood = -157.19204  (not concave)
Iteration 327: log pseudolikelihood = -157.18006  (not concave)
Iteration 328: log pseudolikelihood = -157.16899  (not concave)
Iteration 329: log pseudolikelihood = -157.16091  (not concave)
Iteration 330: log pseudolikelihood = -157.15508  (not concave)
Iteration 331: log pseudolikelihood = -157.14924  (not concave)
Iteration 332: log pseudolikelihood = -157.10231  (not concave)
Iteration 333: log pseudolikelihood = -157.08309  (not concave)
Iteration 334: log pseudolikelihood = -157.04774  (not concave)
Iteration 335: log pseudolikelihood = -157.02526  (not concave)
Iteration 336: log pseudolikelihood = -157.02217  (not concave)
Iteration 337: log pseudolikelihood =   -157.019  (not concave)
Iteration 338: log pseudolikelihood = -156.97088  (not concave)
Iteration 339: log pseudolikelihood = -156.94504  (not concave)
Iteration 340: log pseudolikelihood = -156.94061  (not concave)
Iteration 341: log pseudolikelihood = -156.93765  (not concave)
Iteration 342: log pseudolikelihood = -156.93459  (not concave)
Iteration 343: log pseudolikelihood = -156.88303  
Iteration 344: log pseudolikelihood = -156.85965  
Iteration 345: log pseudolikelihood = -156.18158  
Iteration 346: log pseudolikelihood = -156.14695  
Iteration 347: log pseudolikelihood = -156.14676  
Iteration 348: log pseudolikelihood = -156.14676  

                                                Number of obs     =      4,952
                                                Wald chi2(13)     =      52.68
Log pseudolikelihood = -156.14676               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 139 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   8.164548   9.169274     0.89   0.373    -9.806898    26.13599
     capcheither20 |   2.235438    .932417     2.40   0.017      .407934    4.062942
   regchangeeither |   2.615744   1.951921     1.34   0.180    -1.209952    6.441439
      chTEAltorBmt |  -.8024354     1.4798    -0.54   0.588     -3.70279    2.097919
           alformA |   3.011224   1.323828     2.27   0.023     .4165685    5.605879
             demdA |   .6287057   2.294431     0.27   0.784    -3.868297    5.125708
         asymmetry |  -1.915818   .7865398    -2.44   0.015    -3.457407   -.3742279
          nomicoop |  -2.566904   3.097697    -0.83   0.407    -8.638278     3.50447
            treaty |   .4825857   2.782902     0.17   0.862    -4.971802    5.936974
           milinst |   6.584969   2.108376     3.12   0.002     2.452628    10.71731
              time |  -.0566314   .3646854    -0.16   0.877    -.7714016    .6581387
        timesquare |  -.0028574   .0137875    -0.21   0.836    -.0298804    .0241655
          timecube |   .0000843   .0001563     0.54   0.590     -.000222    .0003906
             _cons |  -2.949123   1.914275    -1.54   0.123    -6.701034    .8027866
-------------------+----------------------------------------------------------------
G                  |
       TerrThreat5 |   6.496423   1.956255     3.32   0.001     2.662233    10.33061
num_dems_on_border |  -.0699871   .2489552    -0.28   0.779    -.5579304    .4179561
       num_borders |   .0093691   .1289854     0.07   0.942    -.2434377    .2621758
           coldwar |    2.14707   1.000258     2.15   0.032     .1865997    4.107541
       Lenergy_pop |  -.1743279   .0971088    -1.80   0.073    -.3646577    .0160019
           Oil_exp |   1.311444   .5455176     2.40   0.016     .2422495    2.380639
           maj_pow |  -.2512832   .8990821    -0.28   0.780    -2.013452    1.510885
         kgd_rival |  -.1841385   .4720249    -0.39   0.696     -1.10929    .7410133
             _cons |  -6.598527   1.238576    -5.33   0.000     -9.02609   -4.170963
------------------------------------------------------------------------------------
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05 ) style(tex);

            &           . \\
            &        b/se \\
B           &             \\
wcchangedA  &      10.532 \\
            &    (10.540) \\
capcheither20&       2.228*\\
            &     (0.922) \\
regchangeeither&       2.671 \\
            &     (1.980) \\
chTEAltorBmt&      -0.716 \\
            &     (1.527) \\
alformA     &       2.973*\\
            &     (1.314) \\
demdA       &       0.780 \\
            &     (2.226) \\
asymmetry   &      -1.778 \\
            &     (0.953) \\
nomicoop    &      -2.724 \\
            &     (3.130) \\
treaty      &       1.008 \\
            &     (3.367) \\
milinst     &       6.015*\\
            &     (2.462) \\
time        &      -0.062 \\
            &     (0.381) \\
timesquare  &      -0.003 \\
            &     (0.015) \\
timecube    &       0.000 \\
            &     (0.000) \\
_cons       &      -3.288 \\
            &     (2.256) \\
G           &             \\
TerrThreat5 &       6.542*\\
            &     (2.178) \\
num_dems_on_border&      -0.073 \\
            &     (0.245) \\
num_borders &       0.008 \\
            &     (0.127) \\
coldwar     &       2.170*\\
            &     (1.006) \\
Lenergy_pop &      -0.166 \\
            &     (0.106) \\
Oil_exp     &       1.349*\\
            &     (0.551) \\
maj_pow     &      -0.258 \\
            &     (0.912) \\
kgd_rival   &      -0.162 \\
            &     (0.474) \\
_cons       &      -6.644*\\
            &     (1.235) \\

.                         matrix rename ll ll_1950;

.                         svmat ll_1950;

.                 estimates store sample_1950;

.                         /* Table A.7 Results */ 
>         estout threatform threatformtime NeighborAVG sample_1950, stats(ll N)
>         cells(b(fmt(3) star) se(par))
>         modelwidth(8)
>         starlevels(* 0.05) legend
>         varwidth(15)
>         style(tex) replace;

               &threatform &threatformtime &NeighborAVG &sample_1950 \\
               &    b/se &    b/se &    b/se &    b/se \\
B              &         &         &         &         \\
wcchangedA     &   5.040 &   5.372 &   6.323 &  10.532 \\
               &(12.017) & (6.218) & (5.552) &(10.540) \\
capcheither20  &   6.804 &   3.098 &   7.964 &   2.228*\\
               &(13.460) & (4.011) & (6.141) & (0.922) \\
regchangeeither&   1.845 &   1.814 &   1.930 &   2.671 \\
               & (1.761) & (1.891) & (1.834) & (1.980) \\
chTEAltorBmt   &   1.953 &   0.882 &   2.072 &  -0.716 \\
               & (3.136) & (1.826) & (1.838) & (1.527) \\
alformA        &   6.077 &   2.562 &   7.229 &   2.973*\\
               &(13.419) & (3.011) & (5.551) & (1.314) \\
demdA          &   1.035 &   1.313 &   1.474 &   0.780 \\
               & (4.644) & (2.571) & (1.743) & (2.226) \\
asymmetry      &  -0.986 &  -1.577 &  -0.889 &  -1.778 \\
               & (1.318) & (1.089) & (1.199) & (0.953) \\
nomicoop       &  -2.360 &  -2.565*&  -2.255 &  -2.724 \\
               & (1.416) & (1.297) & (1.197) & (3.130) \\
treaty         &  -0.345 &   1.384 &   0.004 &   1.008 \\
               & (2.472) & (3.192) & (1.675) & (3.367) \\
milinst        &   6.833 &   5.086 &   7.725 &   6.015*\\
               & (8.124) & (2.739) & (4.646) & (2.462) \\
time           &  -0.171 &  -0.135 &  -0.084 &  -0.062 \\
               & (0.398) & (0.363) & (0.291) & (0.381) \\
timesquare     &  -0.005 &  -0.002 &  -0.010 &  -0.003 \\
               & (0.021) & (0.011) & (0.012) & (0.015) \\
timecube       &   0.000 &   0.000 &   0.000 &   0.000 \\
               & (0.000) & (0.000) & (0.000) & (0.000) \\
_cons          &  -5.281 &  -3.247*&  -7.200 &  -3.288 \\
               &(16.587) & (1.436) & (6.580) & (2.256) \\
G              &         &         &         &         \\
Threat_form5   &  -0.013 &  -1.243 &         &         \\
               & (1.316) & (1.396) &         &         \\
num_dems_on_border&  -0.388*&  -0.289*&  -0.305*&  -0.073 \\
               & (0.127) & (0.120) & (0.117) & (0.245) \\
num_borders    &   0.189*&   0.142 &   0.132*&   0.008 \\
               & (0.061) & (0.078) & (0.050) & (0.127) \\
coldwar        &   0.128 &   0.484 &   0.342 &   2.170*\\
               & (0.262) & (0.356) & (0.273) & (1.006) \\
Lenergy_pop    &  -0.176 &  -0.162 &  -0.165*&  -0.166 \\
               & (0.091) & (0.089) & (0.076) & (0.106) \\
Oil_exp        &   0.334 &   0.622 &   0.463 &   1.349*\\
               & (0.415) & (0.644) & (0.369) & (0.551) \\
maj_pow        &   0.412 &   0.386 &   0.177 &  -0.258 \\
               & (0.405) & (0.621) & (0.400) & (0.912) \\
kgd_rival      &   0.299 &   0.059 &   0.294 &  -0.162 \\
               & (0.429) & (0.406) & (0.384) & (0.474) \\
TerrThreat5    &         &   4.355*&         &   6.542*\\
               &         & (1.225) &         & (2.178) \\
TerrThreatAvg5 &         &         &   0.510*&         \\
               &         &         & (0.142) &         \\
_cons          &  -4.706*&  -5.016*&  -4.808*&  -6.644*\\
               & (0.442) & (0.678) & (0.404) & (1.235) \\
ll             &         &         &         &         \\
N              &         &         &         &         \\
* p<0.05

.                 /* Table A.8 */ 
>                 /* Load data */
>                 use Alliance_formation, clear;

.                 /* Lai and Reiter replication */
>                 probit CoW3allied CoW3alliedlag pol5 poldif jtrel jtlin jteth mid10ab jtenmid jtmdct10 sqrtdist mpctdum lrnnewd;

Iteration 0:   log likelihood = -101798.35  
Iteration 1:   log likelihood = -14750.456  
Iteration 2:   log likelihood = -12225.258  
Iteration 3:   log likelihood = -12190.687  
Iteration 4:   log likelihood = -12190.555  
Iteration 5:   log likelihood = -12190.555  

Probit regression                               Number of obs     =    411,013
                                                LR chi2(12)       =  179215.59
                                                Prob > chi2       =     0.0000
Log likelihood = -12190.555                     Pseudo R2         =     0.8802

-------------------------------------------------------------------------------
   CoW3allied |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
CoW3alliedlag |   4.039659   .0174016   232.14   0.000     4.005552    4.073766
         pol5 |   .1757156    .024912     7.05   0.000     .1268889    .2245423
       poldif |  -.0095298   .0014598    -6.53   0.000    -.0123909   -.0066686
        jtrel |   .3090216   .0182613    16.92   0.000       .27323    .3448132
        jtlin |   .3691334   .0254682    14.49   0.000     .3192168    .4190501
        jteth |  -.0399004    .030417    -1.31   0.190    -.0995166    .0197157
      mid10ab |   -.108413   .0378367    -2.87   0.004    -.1825716   -.0342544
      jtenmid |     .10638   .0270757     3.93   0.000     .0533127    .1594474
     jtmdct10 |   .0236934   .0017977    13.18   0.000       .02017    .0272168
     sqrtdist |  -.0121483   .0003603   -33.72   0.000    -.0128545   -.0114421
      mpctdum |  -.0176705   .0234251    -0.75   0.451    -.0635829    .0282419
      lrnnewd |   .1508268    .012703    11.87   0.000     .1259294    .1757242
        _cons |  -2.320749   .0254149   -91.31   0.000    -2.370562   -2.270937
-------------------------------------------------------------------------------

.                         estimates store LaiReiter;

.                 /* Replicate for 1919-2001 sample */
>                 probit CoW3allied CoW3alliedlag pol5 poldif jtrel jtlin jteth mid10ab jtenmid jtmdct10 sqrtdist mpctdum lrnnewd if year>1918;

Iteration 0:   log likelihood = -93408.785  
Iteration 1:   log likelihood = -12859.628  
Iteration 2:   log likelihood =  -12169.44  
Iteration 3:   log likelihood = -10466.413  
Iteration 4:   log likelihood = -10457.955  
Iteration 5:   log likelihood = -10457.948  
Iteration 6:   log likelihood = -10457.948  

Probit regression                               Number of obs     =    358,402
                                                LR chi2(12)       =  165901.67
                                                Prob > chi2       =     0.0000
Log likelihood = -10457.948                     Pseudo R2         =     0.8880

-------------------------------------------------------------------------------
   CoW3allied |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
CoW3alliedlag |   4.039599   .0188801   213.96   0.000     4.002595    4.076604
         pol5 |    .063897   .0262038     2.44   0.015     .0125384    .1152556
       poldif |  -.0144551   .0015344    -9.42   0.000    -.0174624   -.0114478
        jtrel |   .3140152   .0201494    15.58   0.000     .2745231    .3535073
        jtlin |   .4834523    .029534    16.37   0.000     .4255668    .5413378
        jteth |  -.0274074   .0349056    -0.79   0.432    -.0958212    .0410064
      mid10ab |  -.1135472   .0437113    -2.60   0.009    -.1992199   -.0278745
      jtenmid |   .0542599   .0296447     1.83   0.067    -.0038427    .1123625
     jtmdct10 |   .0139366   .0019665     7.09   0.000     .0100824    .0177908
     sqrtdist |  -.0132765   .0003997   -33.22   0.000    -.0140598   -.0124932
      mpctdum |   .1059295   .0277236     3.82   0.000     .0515923    .1602667
      lrnnewd |   .1485695   .0134479    11.05   0.000      .122212     .174927
        _cons |  -2.113932   .0286818   -73.70   0.000    -2.170148   -2.057717
-------------------------------------------------------------------------------

.                         estimates store LaiReiter1919;

.                 /* Generate predicted probability of an alliance instrument and inverse Mills ratio */
>                 predict pr_ally;
(option pr assumed; Pr(CoW3allied))
(105437 missing values generated)

.                         predict xb_ally;
(option pr assumed; Pr(CoW3allied))
(105437 missing values generated)

.                 gen mill_ally = normalden(xb_ally)/normprob(xb_ally);
(105,437 missing values generated)

.                         /* Table A.8 Results */
>         estout LaiReiter LaiReiter1919, stats(ll)
>         cells(b(star fmt(3)) se(par fmt(3)) ) 
>         starlevels(* .05)  
>         style(tex) replace;

            &   LaiReiter &LaiReiter1919 \\
            &        b/se &        b/se \\
CoW3allied  &             &             \\
CoW3alliedlag&       4.040*&       4.040*\\
            &     (0.017) &     (0.019) \\
pol5        &       0.176*&       0.064*\\
            &     (0.025) &     (0.026) \\
poldif      &      -0.010*&      -0.014*\\
            &     (0.001) &     (0.002) \\
jtrel       &       0.309*&       0.314*\\
            &     (0.018) &     (0.020) \\
jtlin       &       0.369*&       0.483*\\
            &     (0.025) &     (0.030) \\
jteth       &      -0.040 &      -0.027 \\
            &     (0.030) &     (0.035) \\
mid10ab     &      -0.108*&      -0.114*\\
            &     (0.038) &     (0.044) \\
jtenmid     &       0.106*&       0.054 \\
            &     (0.027) &     (0.030) \\
jtmdct10    &       0.024*&       0.014*\\
            &     (0.002) &     (0.002) \\
sqrtdist    &      -0.012*&      -0.013*\\
            &     (0.000) &     (0.000) \\
mpctdum     &      -0.018 &       0.106*\\
            &     (0.023) &     (0.028) \\
lrnnewd     &       0.151*&       0.149*\\
            &     (0.013) &     (0.013) \\
_cons       &      -2.321*&      -2.114*\\
            &     (0.025) &     (0.029) \\
ll          &  -12190.555 &  -10457.948 \\

. /* Table A.9 */         
>                 /* Set up and merge data with primary data (NiemanGibler_demdiff_ally) */
>                 keep ccode1 ccode2 year allyforma CoW3allied CoW3alliedlag pol5 poldif jtrel jtlin jteth mid10ab jtenmid jtmdct10 sqrtdist mpctdum lrnnewd pr_ally mill_ally;

.                 save `temp_file', replace;
(note: file C:\Users\markd\AppData\Local\Temp\ST_00000001.tmp not found)
file C:\Users\markd\AppData\Local\Temp\ST_00000001.tmp saved

.                         rename ccode1 ccode;

.                         rename ccode2 ccode1;

.                         rename ccode ccode2;

.                 append using `temp_file';

.                 merge 1:m ccode1 ccode2 year using NiemanGibler_demdiff_ally, gen(_merge_ally_form);

    Result                           # of obs.
    -----------------------------------------
    not matched                     1,027,390
        from master                 1,026,854  (_merge_ally_form==1)
        from using                        536  (_merge_ally_form==2)

    matched                             6,306  (_merge_ally_form==3)
    -----------------------------------------

.                         drop _merge;

.                 keep if year>1918;
(136,424 observations deleted)

.                         save alliance_sel, replace;
(note: file alliance_sel.dta not found)
file alliance_sel.dta saved

.                 /* Replicate Leeds et al (Table 1 Model 1) to identify shared observations*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube 
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(890,660 missing values generated)

.                 /* Get initial values for relevance equation without pr_ally (logit) */ 
>                 logit violate Threat_combine num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv, cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -372.77708  
Iteration 2:   log pseudolikelihood = -367.83273  
Iteration 3:   log pseudolikelihood = -367.70816  
Iteration 4:   log pseudolikelihood = -367.70786  
Iteration 5:   log pseudolikelihood = -367.70786  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      65.24
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -367.70786               Pseudo R2         =     0.0740

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    Threat_combine |   3.816064   .9123728     4.18   0.000     2.027846    5.604282
num_dems_on_border |  -.2475091   .1537371    -1.61   0.107    -.5488282      .05381
       num_borders |   .0107176   .0610642     0.18   0.861     -.108966    .1304012
           coldwar |  -.1150792   .2482717    -0.46   0.643    -.6016829    .3715245
       Lenergy_pop |   -.207067   .0707605    -2.93   0.003     -.345755   -.0683791
           Oil_exp |   .2951094   .3227682     0.91   0.361    -.3375045    .9277234
           maj_pow |   .5825582   .3626372     1.61   0.108    -.1281976    1.293314
         kgd_rival |    .273823   .3576697     0.77   0.444    -.4271967    .9748426
             _cons |   -5.21089   .3478612   -14.98   0.000    -5.892685   -4.529095
------------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;
(890,654 missing values generated)

.                 matrix B1 = e(b);

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /* Get initial values for relevance equation without mill_ally (probit) */      
>                 probit violate Threat_combine num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv, cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -370.94049  
Iteration 2:   log pseudolikelihood = -368.48731  
Iteration 3:   log pseudolikelihood =  -368.4838  
Iteration 4:   log pseudolikelihood =  -368.4838  

Probit regression                               Number of obs     =      6,618
                                                Wald chi2(8)      =      57.40
                                                Prob > chi2       =     0.0000
Log pseudolikelihood =  -368.4838               Pseudo R2         =     0.0721

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    Threat_combine |   1.568883   .3925581     4.00   0.000     .7994831    2.338282
num_dems_on_border |  -.0831847    .053123    -1.57   0.117    -.1873039    .0209346
       num_borders |  -.0001173   .0227766    -0.01   0.996    -.0447586    .0445241
           coldwar |  -.0496999   .0948441    -0.52   0.600    -.2355908    .1361911
       Lenergy_pop |  -.0831045   .0278129    -2.99   0.003    -.1376168   -.0285922
           Oil_exp |   .1261058   .1249323     1.01   0.313    -.1187569    .3709686
           maj_pow |   .2297227   .1412215     1.63   0.104    -.0470663    .5065117
         kgd_rival |   .0718799   .1313746     0.55   0.584    -.1856096    .3293694
             _cons |  -2.528715   .1280491   -19.75   0.000    -2.779687   -2.277743
------------------------------------------------------------------------------------

.                         matrix B1_probit = e(b);

.                 /* Get initial values for relevance equation with pr_ally instrument */
>                 logit violate Threat_combine num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv pr_ally, cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -304.64283  
Iteration 1:   log pseudolikelihood = -295.37944  
Iteration 2:   log pseudolikelihood = -292.38342  
Iteration 3:   log pseudolikelihood =  -292.3617  
Iteration 4:   log pseudolikelihood = -292.36168  

Logistic regression                             Number of obs     =      5,627
                                                Wald chi2(9)      =      29.73
                                                Prob > chi2       =     0.0005
Log pseudolikelihood = -292.36168               Pseudo R2         =     0.0403

                                (Std. Err. adjusted for 217 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    Threat_combine |    3.09401   1.354577     2.28   0.022     .4390887    5.748932
num_dems_on_border |   .0039138   .1869444     0.02   0.983    -.3624905    .3703181
       num_borders |  -.0744891   .0849086    -0.88   0.380     -.240907    .0919288
           coldwar |  -.0649122   .3212726    -0.20   0.840    -.6945948    .5647705
       Lenergy_pop |  -.1740492   .0843392    -2.06   0.039     -.339351   -.0087475
           Oil_exp |   .7454165   .3338953     2.23   0.026     .0909938    1.399839
           maj_pow |   .3138459   .4237321     0.74   0.459    -.5166536    1.144345
         kgd_rival |   .2662324   .3858275     0.69   0.490    -.4899756     1.02244
           pr_ally |   .5950812    .450669     1.32   0.187    -.2882138    1.478376
             _cons |  -5.509104   .5802044    -9.50   0.000    -6.646284   -4.371924
------------------------------------------------------------------------------------

.                 matrix B1_ia = e(b);

.                 /* Get initial values for relevance equation with mill_ally instrument */
>                 probit violate Threat_combine num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv mill_ally, cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -304.64283  
Iteration 1:   log pseudolikelihood = -293.00909  
Iteration 2:   log pseudolikelihood =  -292.3201  
Iteration 3:   log pseudolikelihood = -292.31784  
Iteration 4:   log pseudolikelihood = -292.31784  

Probit regression                               Number of obs     =      5,627
                                                Wald chi2(9)      =      29.56
                                                Prob > chi2       =     0.0005
Log pseudolikelihood = -292.31784               Pseudo R2         =     0.0405

                                (Std. Err. adjusted for 217 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    Threat_combine |   1.157629   .5162495     2.24   0.025     .1457987     2.16946
num_dems_on_border |   .0017795   .0627933     0.03   0.977     -.121293    .1248521
       num_borders |  -.0272299   .0293384    -0.93   0.353    -.0847322    .0302724
           coldwar |  -.0379246   .1221156    -0.31   0.756    -.2772668    .2014175
       Lenergy_pop |  -.0716374    .032204    -2.22   0.026     -.134756   -.0085188
           Oil_exp |   .2970091   .1269817     2.34   0.019     .0481296    .5458886
           maj_pow |   .1336959   .1582323     0.84   0.398    -.1764338    .4438256
         kgd_rival |    .075382   .1412274     0.53   0.594    -.2014185    .3521825
         mill_ally |   -.408392   .3106683    -1.31   0.189    -1.017291    .2005068
             _cons |  -2.308154   .1789383   -12.90   0.000    -2.658867   -1.957442
------------------------------------------------------------------------------------

.                 matrix B1_ma = e(b);

.                 /* Rerun on Leeds et al on same sample (GL) - logit starting values */
>                 #delimit;
delimiter now ;
.                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 /* Rerun on Leeds et al on same sample (GL) - probit starting values */
>                 probit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood = -343.42281  
Iteration 2:   log pseudolikelihood = -340.16506  
Iteration 3:   log pseudolikelihood = -340.15812  
Iteration 4:   log pseudolikelihood = -340.15812  

Probit regression                               Number of obs     =      6,395
                                                Wald chi2(13)     =      75.87
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -340.15812               Pseudo R2         =     0.0968

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .3625771   .1789335     2.03   0.043     .0118739    .7132802
  capcheither20 |   .3665255   .1315716     2.79   0.005     .1086499    .6244011
regchangeeither |   .0745964   .1189199     0.63   0.530    -.1584824    .3076751
   chTEAltorBmt |   .1568362   .1081977     1.45   0.147    -.0552274    .3688998
        alformA |   .4248143   .1017521     4.17   0.000     .2253839    .6242446
          demdA |  -.4803859   .1482268    -3.24   0.001    -.7709051   -.1898667
      asymmetry |  -.1692691   .1014341    -1.67   0.095    -.3680763     .029538
       nomicoop |  -.3083786   .1014303    -3.04   0.002    -.5071785   -.1095788
         treaty |  -.0539318   .1412501    -0.38   0.703    -.3307769    .2229132
        milinst |   .2265189   .0733484     3.09   0.002     .0827588    .3702791
           time |  -.0297526   .0304219    -0.98   0.328    -.0893785    .0298733
     timesquare |   .0001174   .0017456     0.07   0.946    -.0033039    .0035387
       timecube |   8.21e-06   .0000265     0.31   0.757    -.0000437    .0000601
          _cons |  -2.278234   .1765618   -12.90   0.000    -2.624289   -1.932179
---------------------------------------------------------------------------------

.                 matrix B2_probit = e(b);

.                                 /* split sample logit with instrument (pr_ally) in 1) relevance, 2) outcome, 3) both */
>                 ml model lf spl_lf  
>                         (V: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (R: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  pr_ally) 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 B1_ia , copy ;

.                 ml search;
initial:       log pseudolikelihood = -432.86938
rescale:       log pseudolikelihood = -266.80772
rescale eq:    log pseudolikelihood = -266.80772

.                 ml maximize, diff;

initial:       log pseudolikelihood = -266.80772
rescale:       log pseudolikelihood = -266.80772
rescale eq:    log pseudolikelihood = -266.80772
Iteration 0:   log pseudolikelihood = -266.80772  
Iteration 1:   log pseudolikelihood = -253.04262  (not concave)
Iteration 2:   log pseudolikelihood = -252.45455  
Iteration 3:   log pseudolikelihood = -251.35546  
Iteration 4:   log pseudolikelihood = -249.25922  
Iteration 5:   log pseudolikelihood = -247.71933  
Iteration 6:   log pseudolikelihood = -246.98241  
Iteration 7:   log pseudolikelihood = -245.84853  
Iteration 8:   log pseudolikelihood = -245.11423  
Iteration 9:   log pseudolikelihood = -245.07385  
Iteration 10:  log pseudolikelihood = -245.07337  
Iteration 11:  log pseudolikelihood = -245.07337  

                                                Number of obs     =      5,501
                                                Wald chi2(13)     =      22.59
Log pseudolikelihood = -245.07337               Prob > chi2       =     0.0468

                                (Std. Err. adjusted for 209 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
V                  |
        wcchangedA |   1.694438   3.795507     0.45   0.655    -5.744619    9.133494
     capcheither20 |    8.10356   4.948445     1.64   0.102    -1.595215    17.80233
   regchangeeither |    .937532   2.566618     0.37   0.715    -4.092948    5.968012
      chTEAltorBmt |   .3592725   2.103743     0.17   0.864    -3.763989    4.482534
           alformA |   5.169723   4.587033     1.13   0.260    -3.820696    14.16014
             demdA |   .0559561   2.537387     0.02   0.982    -4.917231    5.029143
         asymmetry |  -.4362757   1.967396    -0.22   0.825    -4.292301    3.419749
          nomicoop |  -2.114996   2.350178    -0.90   0.368     -6.72126    2.491267
            treaty |   -2.24202   3.154083    -0.71   0.477     -8.42391    3.939871
           milinst |   6.245137   3.116407     2.00   0.045     .1370911    12.35318
              time |  -.7978012   .7287913    -1.09   0.274    -2.226206    .6306036
        timesquare |   .0272538   .0264415     1.03   0.303    -.0245706    .0790781
          timecube |  -.0002772   .0002857    -0.97   0.332    -.0008371    .0002827
             _cons |  -1.515205    5.47229    -0.28   0.782     -12.2407    9.210286
-------------------+----------------------------------------------------------------
R                  |
    Threat_combine |   2.795319   1.376555     2.03   0.042     .0973222    5.493317
num_dems_on_border |  -.1347438   .1512679    -0.89   0.373    -.4312233    .1617358
       num_borders |   .0455792    .081495     0.56   0.576    -.1141481    .2053064
           coldwar |   .1143114   .4013551     0.28   0.776      -.67233    .9009528
       Lenergy_pop |  -.1106849   .0967672    -1.14   0.253     -.300345    .0789753
           Oil_exp |   .6704546   .4834587     1.39   0.166     -.277107    1.618016
           maj_pow |  -.0194032   .4748661    -0.04   0.967    -.9501236    .9113172
         kgd_rival |  -.0898544   .4321717    -0.21   0.835    -.9368954    .7571866
           pr_ally |   .6576448   .5137408     1.28   0.201    -.3492686    1.664558
             _cons |  -4.793424   .6325987    -7.58   0.000    -6.033295   -3.553553
------------------------------------------------------------------------------------

.                 estimates store spl_prallyInstR;

.                                 ml model lf spl_lf  
>                         (V: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube pr_ally)
>                         (R: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv ) 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 0 B1 , copy ;

.                 ml search;
initial:       log pseudolikelihood =  -406.6575
rescale:       log pseudolikelihood = -286.17291
rescale eq:    log pseudolikelihood = -286.17291

.                 ml maximize, diff;

initial:       log pseudolikelihood = -286.17291
rescale:       log pseudolikelihood = -286.17291
rescale eq:    log pseudolikelihood = -286.17291
Iteration 0:   log pseudolikelihood = -286.17291  (not concave)
Iteration 1:   log pseudolikelihood =  -276.2555  (not concave)
Iteration 2:   log pseudolikelihood =  -273.1967  (not concave)
Iteration 3:   log pseudolikelihood = -270.88721  (not concave)
Iteration 4:   log pseudolikelihood = -268.95062  (not concave)
Iteration 5:   log pseudolikelihood = -267.82407  (not concave)
Iteration 6:   log pseudolikelihood = -266.39932  (not concave)
Iteration 7:   log pseudolikelihood = -265.72194  (not concave)
Iteration 8:   log pseudolikelihood = -264.80061  (not concave)
Iteration 9:   log pseudolikelihood =  -263.8686  (not concave)
Iteration 10:  log pseudolikelihood = -262.99972  (not concave)
Iteration 11:  log pseudolikelihood = -262.40229  (not concave)
Iteration 12:  log pseudolikelihood = -262.00801  (not concave)
Iteration 13:  log pseudolikelihood = -261.60279  (not concave)
Iteration 14:  log pseudolikelihood = -259.15078  (not concave)
Iteration 15:  log pseudolikelihood = -257.36925  (not concave)
Iteration 16:  log pseudolikelihood = -257.17242  (not concave)
Iteration 17:  log pseudolikelihood =  -256.9931  (not concave)
Iteration 18:  log pseudolikelihood =  -256.8226  (not concave)
Iteration 19:  log pseudolikelihood = -256.65393  (not concave)
Iteration 20:  log pseudolikelihood = -256.49064  (not concave)
Iteration 21:  log pseudolikelihood = -256.33199  (not concave)
Iteration 22:  log pseudolikelihood = -256.17886  (not concave)
Iteration 23:  log pseudolikelihood = -256.02902  (not concave)
Iteration 24:  log pseudolikelihood = -255.88404  (not concave)
Iteration 25:  log pseudolikelihood = -255.74234  (not concave)
Iteration 26:  log pseudolikelihood = -255.60515  (not concave)
Iteration 27:  log pseudolikelihood = -255.47088  (not concave)
Iteration 28:  log pseudolikelihood = -255.34075  (not concave)
Iteration 29:  log pseudolikelihood = -255.21333  (not concave)
Iteration 30:  log pseudolikelihood = -255.08972  (not concave)
Iteration 31:  log pseudolikelihood = -254.96861  (not concave)
Iteration 32:  log pseudolikelihood = -254.85101  (not concave)
Iteration 33:  log pseudolikelihood = -254.73572  (not concave)
Iteration 34:  log pseudolikelihood = -254.62368  (not concave)
Iteration 35:  log pseudolikelihood = -254.51377  (not concave)
Iteration 36:  log pseudolikelihood = -254.40689  (not concave)
Iteration 37:  log pseudolikelihood = -254.30198  (not concave)
Iteration 38:  log pseudolikelihood = -254.19988  (not concave)
Iteration 39:  log pseudolikelihood = -254.09961  (not concave)
Iteration 40:  log pseudolikelihood = -254.00196  (not concave)
Iteration 41:  log pseudolikelihood =   -253.906  (not concave)
Iteration 42:  log pseudolikelihood = -253.81249  (not concave)
Iteration 43:  log pseudolikelihood = -253.72056  (not concave)
Iteration 44:  log pseudolikelihood = -253.63093  (not concave)
Iteration 45:  log pseudolikelihood = -253.54276  (not concave)
Iteration 46:  log pseudolikelihood = -253.45674  (not concave)
Iteration 47:  log pseudolikelihood =  -253.3721  (not concave)
Iteration 48:  log pseudolikelihood = -253.28946  (not concave)
Iteration 49:  log pseudolikelihood = -253.20812  (not concave)
Iteration 50:  log pseudolikelihood = -253.12867  (not concave)
Iteration 51:  log pseudolikelihood = -253.05043  (not concave)
Iteration 52:  log pseudolikelihood = -252.97397  (not concave)
Iteration 53:  log pseudolikelihood = -252.89865  (not concave)
Iteration 54:  log pseudolikelihood = -252.82501  (not concave)
Iteration 55:  log pseudolikelihood = -252.75244  (not concave)
Iteration 56:  log pseudolikelihood = -252.68145  (not concave)
Iteration 57:  log pseudolikelihood = -252.61148  (not concave)
Iteration 58:  log pseudolikelihood =   -252.543  (not concave)
Iteration 59:  log pseudolikelihood = -252.47548  (not concave)
Iteration 60:  log pseudolikelihood = -252.40938  (not concave)
Iteration 61:  log pseudolikelihood = -252.34418  (not concave)
Iteration 62:  log pseudolikelihood = -252.28032  (not concave)
Iteration 63:  log pseudolikelihood = -252.21733  (not concave)
Iteration 64:  log pseudolikelihood = -252.15561  (not concave)
Iteration 65:  log pseudolikelihood =  -252.0947  (not concave)
Iteration 66:  log pseudolikelihood = -252.03501  (not concave)
Iteration 67:  log pseudolikelihood = -251.97609  (not concave)
Iteration 68:  log pseudolikelihood = -251.91833  (not concave)
Iteration 69:  log pseudolikelihood =  -251.8613  (not concave)
Iteration 70:  log pseudolikelihood = -251.80537  (not concave)
Iteration 71:  log pseudolikelihood = -251.75015  (not concave)
Iteration 72:  log pseudolikelihood = -251.69597  (not concave)
Iteration 73:  log pseudolikelihood = -251.64246  (not concave)
Iteration 74:  log pseudolikelihood = -251.58996  (not concave)
Iteration 75:  log pseudolikelihood = -251.53809  (not concave)
Iteration 76:  log pseudolikelihood = -251.48718  (not concave)
Iteration 77:  log pseudolikelihood = -251.43688  (not concave)
Iteration 78:  log pseudolikelihood =  -251.3875  (not concave)
Iteration 79:  log pseudolikelihood =  -251.3387  (not concave)
Iteration 80:  log pseudolikelihood = -251.29078  (not concave)
Iteration 81:  log pseudolikelihood = -251.24342  (not concave)
Iteration 82:  log pseudolikelihood =  -251.1969  (not concave)
Iteration 83:  log pseudolikelihood = -251.15092  (not concave)
Iteration 84:  log pseudolikelihood = -251.10574  (not concave)
Iteration 85:  log pseudolikelihood = -251.06107  (not concave)
Iteration 86:  log pseudolikelihood = -251.01718  (not concave)
Iteration 87:  log pseudolikelihood = -250.97378  (not concave)
Iteration 88:  log pseudolikelihood = -250.93113  (not concave)
Iteration 89:  log pseudolikelihood = -250.88895  (not concave)
Iteration 90:  log pseudolikelihood = -250.84748  (not concave)
Iteration 91:  log pseudolikelihood = -250.80647  (not concave)
Iteration 92:  log pseudolikelihood = -250.76614  (not concave)
Iteration 93:  log pseudolikelihood = -250.72625  (not concave)
Iteration 94:  log pseudolikelihood = -250.68703  (not concave)
Iteration 95:  log pseudolikelihood = -250.64822  (not concave)
Iteration 96:  log pseudolikelihood = -250.61005  (not concave)
Iteration 97:  log pseudolikelihood = -250.57229  (not concave)
Iteration 98:  log pseudolikelihood = -250.53513  (not concave)
Iteration 99:  log pseudolikelihood = -250.49837  (not concave)
Iteration 100: log pseudolikelihood =  -250.4622  (not concave)
Iteration 101: log pseudolikelihood =  -250.4264  (not concave)
Iteration 102: log pseudolikelihood = -250.39118  (not concave)
Iteration 103: log pseudolikelihood = -250.35631  (not concave)
Iteration 104: log pseudolikelihood =   -250.322  (not concave)
Iteration 105: log pseudolikelihood = -250.28803  (not concave)
Iteration 106: log pseudolikelihood =  -250.2546  (not concave)
Iteration 107: log pseudolikelihood =  -250.2215  (not concave)
Iteration 108: log pseudolikelihood = -250.18891  (not concave)
Iteration 109: log pseudolikelihood = -250.15665  (not concave)
Iteration 110: log pseudolikelihood = -250.12488  (not concave)
Iteration 111: log pseudolikelihood = -250.09343  (not concave)
Iteration 112: log pseudolikelihood = -250.06246  (not concave)
Iteration 113: log pseudolikelihood = -250.03178  (not concave)
Iteration 114: log pseudolikelihood = -250.00157  (not concave)
Iteration 115: log pseudolikelihood = -249.97166  (not concave)
Iteration 116: log pseudolikelihood = -249.94218  (not concave)
Iteration 117: log pseudolikelihood =   -249.913  (not concave)
Iteration 118: log pseudolikelihood = -249.88424  (not concave)
Iteration 119: log pseudolikelihood = -249.85576  (not concave)
Iteration 120: log pseudolikelihood = -249.82769  (not concave)
Iteration 121: log pseudolikelihood = -249.79989  (not concave)
Iteration 122: log pseudolikelihood = -249.77249  (not concave)
Iteration 123: log pseudolikelihood = -249.74535  (not concave)
Iteration 124: log pseudolikelihood =  -249.7186  (not concave)
Iteration 125: log pseudolikelihood =  -249.6921  (not concave)
Iteration 126: log pseudolikelihood = -249.66597  (not concave)
Iteration 127: log pseudolikelihood = -249.64009  (not concave)
Iteration 128: log pseudolikelihood = -249.61457  (not concave)
Iteration 129: log pseudolikelihood = -249.58929  (not concave)
Iteration 130: log pseudolikelihood = -249.56436  (not concave)
Iteration 131: log pseudolikelihood = -249.53966  (not concave)
Iteration 132: log pseudolikelihood =  -249.5153  (not concave)
Iteration 133: log pseudolikelihood = -249.49116  (not concave)
Iteration 134: log pseudolikelihood = -249.46735  (not concave)
Iteration 135: log pseudolikelihood = -249.44375  (not concave)
Iteration 136: log pseudolikelihood = -249.42048  (not concave)
Iteration 137: log pseudolikelihood = -249.39741  (not concave)
Iteration 138: log pseudolikelihood = -249.37465  (not concave)
Iteration 139: log pseudolikelihood =  -249.3521  (not concave)
Iteration 140: log pseudolikelihood = -249.32984  (not concave)
Iteration 141: log pseudolikelihood = -249.30779  (not concave)
Iteration 142: log pseudolikelihood = -249.28602  (not concave)
Iteration 143: log pseudolikelihood = -249.26444  (not concave)
Iteration 144: log pseudolikelihood = -249.24315  (not concave)
Iteration 145: log pseudolikelihood = -249.22204  (not concave)
Iteration 146: log pseudolikelihood = -249.20121  (not concave)
Iteration 147: log pseudolikelihood = -249.18055  (not concave)
Iteration 148: log pseudolikelihood = -249.16016  (not concave)
Iteration 149: log pseudolikelihood = -249.13995  (not concave)
Iteration 150: log pseudolikelihood = -249.11999  (not concave)
Iteration 151: log pseudolikelihood = -249.10021  (not concave)
Iteration 152: log pseudolikelihood = -249.08067  (not concave)
Iteration 153: log pseudolikelihood =  -249.0613  (not concave)
Iteration 154: log pseudolikelihood = -249.04217  (not concave)
Iteration 155: log pseudolikelihood = -249.02321  (not concave)
Iteration 156: log pseudolikelihood = -249.00448  (not concave)
Iteration 157: log pseudolikelihood =  -248.9859  (not concave)
Iteration 158: log pseudolikelihood = -248.96755  (not concave)
Iteration 159: log pseudolikelihood = -248.94936  (not concave)
Iteration 160: log pseudolikelihood = -248.93139  (not concave)
Iteration 161: log pseudolikelihood = -248.91356  (not concave)
Iteration 162: log pseudolikelihood = -248.89595  (not concave)
Iteration 163: log pseudolikelihood = -248.87849  (not concave)
Iteration 164: log pseudolikelihood = -248.86124  (not concave)
Iteration 165: log pseudolikelihood = -248.84412  (not concave)
Iteration 166: log pseudolikelihood = -248.82721  (not concave)
Iteration 167: log pseudolikelihood = -248.81044  (not concave)
Iteration 168: log pseudolikelihood = -248.79386  (not concave)
Iteration 169: log pseudolikelihood = -248.77742  (not concave)
Iteration 170: log pseudolikelihood = -248.76117  
Iteration 171: log pseudolikelihood = -248.63059  (backed up)
Iteration 172: log pseudolikelihood = -247.37471  
Iteration 173: log pseudolikelihood = -247.25589  
Iteration 174: log pseudolikelihood = -245.86126  
Iteration 175: log pseudolikelihood = -245.67985  
Iteration 176: log pseudolikelihood = -245.61869  
Iteration 177: log pseudolikelihood = -245.61519  
Iteration 178: log pseudolikelihood = -245.61499  
Iteration 179: log pseudolikelihood = -245.61499  

                                                Number of obs     =      5,501
                                                Wald chi2(14)     =      21.41
Log pseudolikelihood = -245.61499               Prob > chi2       =     0.0916

                                (Std. Err. adjusted for 209 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
V                  |
        wcchangedA |   1.729079   3.684337     0.47   0.639    -5.492088    8.950246
     capcheither20 |   7.538242   8.940834     0.84   0.399     -9.98547    25.06195
   regchangeeither |   1.053167   4.156139     0.25   0.800    -7.092717     9.19905
      chTEAltorBmt |   .6961122   3.876555     0.18   0.857    -6.901797    8.294021
           alformA |   4.840265   10.87577     0.45   0.656    -16.47585    26.15638
             demdA |   .5803922   3.264285     0.18   0.859    -5.817489    6.978273
         asymmetry |  -.4597104   2.732679    -0.17   0.866    -5.815663    4.896242
          nomicoop |  -2.108756   2.565666    -0.82   0.411    -7.137368    2.919857
            treaty |  -1.817726   2.441086    -0.74   0.456    -6.602166    2.966714
           milinst |   6.994192   5.231038     1.34   0.181    -3.258454    17.24684
              time |  -.7281616   .7799063    -0.93   0.350     -2.25675    .8004267
        timesquare |   .0240755   .0299487     0.80   0.421    -.0346229    .0827739
          timecube |  -.0002396   .0002901    -0.83   0.409    -.0008081    .0003289
           pr_ally |   1.355364   1.905943     0.71   0.477    -2.380215    5.090944
             _cons |    -3.0706   11.55403    -0.27   0.790    -25.71608    19.57488
-------------------+----------------------------------------------------------------
R                  |
    Threat_combine |   3.022817   1.354342     2.23   0.026     .3683554    5.677279
num_dems_on_border |  -.1491763   .1505483    -0.99   0.322    -.4442456     .145893
       num_borders |   .0534537   .0970326     0.55   0.582    -.1367266     .243634
           coldwar |   .0932099   .3949405     0.24   0.813    -.6808593    .8672791
       Lenergy_pop |  -.0980384   .1086331    -0.90   0.367    -.3109553    .1148785
           Oil_exp |   .7330434   .7092652     1.03   0.301    -.6570909    2.123178
           maj_pow |  -.0841205   .5716681    -0.15   0.883    -1.204569    1.036328
         kgd_rival |  -.0496799    .512224    -0.10   0.923     -1.05362    .9542607
             _cons |    -4.3068   .5058108    -8.51   0.000    -5.298171    -3.31543
------------------------------------------------------------------------------------

.                 estimates store spl_prallyInstV;

.                                                 ml model lf spl_lf  
>                         (V: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube pr_ally)
>                         (R: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  pr_ally) 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 0 B1_ia , copy ;

.                 ml search;
initial:       log pseudolikelihood =  -406.5299
rescale:       log pseudolikelihood = -280.17595
rescale eq:    log pseudolikelihood = -280.17595

.                 ml maximize, diff;

initial:       log pseudolikelihood = -280.17595
rescale:       log pseudolikelihood = -280.17595
rescale eq:    log pseudolikelihood = -280.17595
Iteration 0:   log pseudolikelihood = -280.17595  (not concave)
Iteration 1:   log pseudolikelihood = -267.47105  (not concave)
Iteration 2:   log pseudolikelihood = -264.33052  (not concave)
Iteration 3:   log pseudolikelihood = -263.04474  (not concave)
Iteration 4:   log pseudolikelihood = -262.18042  (not concave)
Iteration 5:   log pseudolikelihood = -261.48213  (not concave)
Iteration 6:   log pseudolikelihood = -260.87699  (not concave)
Iteration 7:   log pseudolikelihood = -260.32213  (not concave)
Iteration 8:   log pseudolikelihood = -259.81702  (not concave)
Iteration 9:   log pseudolikelihood = -259.35252  (not concave)
Iteration 10:  log pseudolikelihood = -258.92403  (not concave)
Iteration 11:  log pseudolikelihood = -258.52709  (not concave)
Iteration 12:  log pseudolikelihood =  -258.1596  (not concave)
Iteration 13:  log pseudolikelihood = -257.81726  (not concave)
Iteration 14:  log pseudolikelihood = -257.49878  (not concave)
Iteration 15:  log pseudolikelihood = -257.20101  (not concave)
Iteration 16:  log pseudolikelihood = -256.92291  (not concave)
Iteration 17:  log pseudolikelihood = -256.66192  (not concave)
Iteration 18:  log pseudolikelihood = -256.41733  (not concave)
Iteration 19:  log pseudolikelihood = -256.18705  (not concave)
Iteration 20:  log pseudolikelihood = -255.97053  (not concave)
Iteration 21:  log pseudolikelihood = -255.76608  (not concave)
Iteration 22:  log pseudolikelihood = -255.57328  (not concave)
Iteration 23:  log pseudolikelihood = -255.39071  (not concave)
Iteration 24:  log pseudolikelihood = -255.21806  (not concave)
Iteration 25:  log pseudolikelihood = -255.05415  (not concave)
Iteration 26:  log pseudolikelihood = -254.89875  (not concave)
Iteration 27:  log pseudolikelihood = -254.75084  (not concave)
Iteration 28:  log pseudolikelihood = -254.61026  (not concave)
Iteration 29:  log pseudolikelihood = -254.47615  (not concave)
Iteration 30:  log pseudolikelihood = -254.34837  (not concave)
Iteration 31:  log pseudolikelihood = -254.22619  (not concave)
Iteration 32:  log pseudolikelihood = -254.10952  (not concave)
Iteration 33:  log pseudolikelihood = -253.99772  (not concave)
Iteration 34:  log pseudolikelihood = -253.89073  (not concave)
Iteration 35:  log pseudolikelihood = -253.78799  (not concave)
Iteration 36:  log pseudolikelihood = -253.68945  (not concave)
Iteration 37:  log pseudolikelihood = -253.59464  (not concave)
Iteration 38:  log pseudolikelihood = -253.50352  (not concave)
Iteration 39:  log pseudolikelihood = -253.41567  (not concave)
Iteration 40:  log pseudolikelihood = -253.33108  (not concave)
Iteration 41:  log pseudolikelihood = -253.24937  (not concave)
Iteration 42:  log pseudolikelihood = -253.17054  (not concave)
Iteration 43:  log pseudolikelihood = -253.09426  (not concave)
Iteration 44:  log pseudolikelihood = -253.02052  (not concave)
Iteration 45:  log pseudolikelihood = -252.94905  (not concave)
Iteration 46:  log pseudolikelihood = -252.87984  (not concave)
Iteration 47:  log pseudolikelihood = -252.81263  (not concave)
Iteration 48:  log pseudolikelihood = -252.74744  (not concave)
Iteration 49:  log pseudolikelihood = -252.68404  (not concave)
Iteration 50:  log pseudolikelihood = -252.62245  (not concave)
Iteration 51:  log pseudolikelihood = -252.56244  (not concave)
Iteration 52:  log pseudolikelihood = -252.50406  (not concave)
Iteration 53:  log pseudolikelihood =  -252.4471  (not concave)
Iteration 54:  log pseudolikelihood =  -252.3916  (not concave)
Iteration 55:  log pseudolikelihood = -252.33736  (not concave)
Iteration 56:  log pseudolikelihood = -252.28444  (not concave)
Iteration 57:  log pseudolikelihood = -252.23267  (not concave)
Iteration 58:  log pseudolikelihood = -252.18208  (not concave)
Iteration 59:  log pseudolikelihood = -252.13252  (not concave)
Iteration 60:  log pseudolikelihood = -252.08403  (not concave)
Iteration 61:  log pseudolikelihood = -252.03647  (not concave)
Iteration 62:  log pseudolikelihood = -251.98988  (not concave)
Iteration 63:  log pseudolikelihood = -251.94413  (not concave)
Iteration 64:  log pseudolikelihood = -251.89927  (not concave)
Iteration 65:  log pseudolikelihood = -251.85517  (not concave)
Iteration 66:  log pseudolikelihood = -251.81188  (not concave)
Iteration 67:  log pseudolikelihood = -251.76927  (not concave)
Iteration 68:  log pseudolikelihood = -251.72741  (not concave)
Iteration 69:  log pseudolikelihood = -251.68617  (not concave)
Iteration 70:  log pseudolikelihood = -251.64561  (not concave)
Iteration 71:  log pseudolikelihood = -251.60562  (not concave)
Iteration 72:  log pseudolikelihood = -251.56625  (not concave)
Iteration 73:  log pseudolikelihood = -251.52741  (not concave)
Iteration 74:  log pseudolikelihood = -251.48914  (not concave)
Iteration 75:  log pseudolikelihood = -251.45135  (not concave)
Iteration 76:  log pseudolikelihood = -251.41409  (not concave)
Iteration 77:  log pseudolikelihood = -251.37727  (not concave)
Iteration 78:  log pseudolikelihood = -251.34094  (not concave)
Iteration 79:  log pseudolikelihood = -251.30502  (not concave)
Iteration 80:  log pseudolikelihood = -251.26955  (not concave)
Iteration 81:  log pseudolikelihood = -251.23446  (not concave)
Iteration 82:  log pseudolikelihood =  -251.1998  (not concave)
Iteration 83:  log pseudolikelihood = -251.16548  (not concave)
Iteration 84:  log pseudolikelihood = -251.13157  (not concave)
Iteration 85:  log pseudolikelihood = -251.09798  (not concave)
Iteration 86:  log pseudolikelihood = -251.06477  (not concave)
Iteration 87:  log pseudolikelihood = -251.03185  (not concave)
Iteration 88:  log pseudolikelihood =  -250.9993  (not concave)
Iteration 89:  log pseudolikelihood = -250.96702  (not concave)
Iteration 90:  log pseudolikelihood = -250.93508  (not concave)
Iteration 91:  log pseudolikelihood = -250.90341  (not concave)
Iteration 92:  log pseudolikelihood = -250.87206  
Iteration 93:  log pseudolikelihood = -250.05842  
Iteration 94:  log pseudolikelihood = -248.56974  
Iteration 95:  log pseudolikelihood = -246.66924  
Iteration 96:  log pseudolikelihood = -246.11574  
Iteration 97:  log pseudolikelihood = -245.14445  
Iteration 98:  log pseudolikelihood = -245.07474  
Iteration 99:  log pseudolikelihood = -245.07266  
Iteration 100: log pseudolikelihood = -245.07262  
Iteration 101: log pseudolikelihood = -245.07262  

                                                Number of obs     =      5,501
                                                Wald chi2(14)     =      22.44
Log pseudolikelihood = -245.07262               Prob > chi2       =     0.0700

                                (Std. Err. adjusted for 209 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
V                  |
        wcchangedA |   1.705645   3.775629     0.45   0.651    -5.694452    9.105741
     capcheither20 |   8.070777   5.187722     1.56   0.120     -2.09697    18.23852
   regchangeeither |   .9493699   2.681444     0.35   0.723    -4.306163    6.204903
      chTEAltorBmt |   .3698846   1.979582     0.19   0.852    -3.510025    4.249794
           alformA |   5.143678   4.776247     1.08   0.282    -4.217594    14.50495
             demdA |    .070984   2.445562     0.03   0.977    -4.722229    4.864197
         asymmetry |  -.4417133   1.985679    -0.22   0.824    -4.333572    3.450146
          nomicoop |  -2.129464   2.438186    -0.87   0.382     -6.90822    2.649292
            treaty |  -2.226657   3.157401    -0.71   0.481    -8.415048    3.961735
           milinst |    6.29684    3.96852     1.59   0.113    -1.481315      14.075
              time |  -.7970634   .7212921    -1.11   0.269     -2.21077    .6166431
        timesquare |   .0271863   .0262821     1.03   0.301    -.0243257    .0786982
          timecube |  -.0002762   .0002879    -0.96   0.337    -.0008406    .0002882
           pr_ally |   .0892199   2.671113     0.03   0.973    -5.146066    5.324506
             _cons |   -1.57642   4.893304    -0.32   0.747    -11.16712     8.01428
-------------------+----------------------------------------------------------------
R                  |
    Threat_combine |   2.804008   1.430412     1.96   0.050      .000451    5.607564
num_dems_on_border |  -.1350381   .1536598    -0.88   0.380    -.4362058    .1661296
       num_borders |   .0458334   .0832344     0.55   0.582    -.1173029    .2089698
           coldwar |   .1166442   .4221191     0.28   0.782     -.710694    .9439824
       Lenergy_pop |  -.1101991   .0993669    -1.11   0.267    -.3049547    .0845565
           Oil_exp |   .6734485   .5171472     1.30   0.193    -.3401415    1.687038
           maj_pow |  -.0201416   .4716217    -0.04   0.966    -.9445032    .9042201
         kgd_rival |  -.0901335   .4320855    -0.21   0.835    -.9370056    .7567386
           pr_ally |   .6416181    .783766     0.82   0.413     -.894535    2.177771
             _cons |  -4.783691   .6757081    -7.08   0.000    -6.108054   -3.459327
------------------------------------------------------------------------------------

.                 estimates store spl_prallyInstB;

.                 /*split sample probit with instrument (mill_ally) in 1) relevance, 2) outcome, 3) both*/
>                 ml model lf sp_prob_lf  
>                         (V: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube )
>                         (R: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv mill_ally) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2_probit B1_ma, copy ;

.                 ml search;
initial:       log pseudolikelihood =  -433.2221
rescale:       log pseudolikelihood = -273.59146
rescale eq:    log pseudolikelihood = -273.59146

.                 ml maximize, diff;

initial:       log pseudolikelihood = -273.59146
rescale:       log pseudolikelihood = -273.59146
rescale eq:    log pseudolikelihood = -273.59146
Iteration 0:   log pseudolikelihood = -273.59146  (not concave)
Iteration 1:   log pseudolikelihood =  -267.4689  (not concave)
Iteration 2:   log pseudolikelihood =  -265.7093  (not concave)
Iteration 3:   log pseudolikelihood = -264.14862  (not concave)
Iteration 4:   log pseudolikelihood = -263.36412  (not concave)
Iteration 5:   log pseudolikelihood =  -259.6892  (not concave)
Iteration 6:   log pseudolikelihood =  -256.4903  
Iteration 7:   log pseudolikelihood = -254.42802  
Iteration 8:   log pseudolikelihood =  -249.6612  (not concave)
Iteration 9:   log pseudolikelihood = -249.60896  (not concave)
Iteration 10:  log pseudolikelihood = -249.58745  (not concave)
Iteration 11:  log pseudolikelihood =  -249.5676  (not concave)
Iteration 12:  log pseudolikelihood = -249.54829  (not concave)
Iteration 13:  log pseudolikelihood = -249.53005  (not concave)
Iteration 14:  log pseudolikelihood = -249.51275  (not concave)
Iteration 15:  log pseudolikelihood = -249.49603  (not concave)
Iteration 16:  log pseudolikelihood =  -249.4799  (not concave)
Iteration 17:  log pseudolikelihood = -249.46432  (not concave)
Iteration 18:  log pseudolikelihood = -249.44921  (not concave)
Iteration 19:  log pseudolikelihood = -249.43448  (not concave)
Iteration 20:  log pseudolikelihood = -249.42012  (not concave)
Iteration 21:  log pseudolikelihood = -249.40608  (not concave)
Iteration 22:  log pseudolikelihood = -249.39232  (not concave)
Iteration 23:  log pseudolikelihood =  -249.3788  (not concave)
Iteration 24:  log pseudolikelihood = -249.36552  (not concave)
Iteration 25:  log pseudolikelihood = -249.35243  (not concave)
Iteration 26:  log pseudolikelihood = -249.33953  (not concave)
Iteration 27:  log pseudolikelihood = -249.32677  (not concave)
Iteration 28:  log pseudolikelihood = -249.31417  (not concave)
Iteration 29:  log pseudolikelihood =  -249.3017  (not concave)
Iteration 30:  log pseudolikelihood = -249.28935  (not concave)
Iteration 31:  log pseudolikelihood =  -249.2771  (not concave)
Iteration 32:  log pseudolikelihood = -249.26496  (not concave)
Iteration 33:  log pseudolikelihood =  -249.2529  (not concave)
Iteration 34:  log pseudolikelihood = -249.24093  (not concave)
Iteration 35:  log pseudolikelihood = -249.22903  (not concave)
Iteration 36:  log pseudolikelihood = -249.21721  (not concave)
Iteration 37:  log pseudolikelihood = -249.20544  (not concave)
Iteration 38:  log pseudolikelihood = -249.19375  (not concave)
Iteration 39:  log pseudolikelihood = -249.18211  (not concave)
Iteration 40:  log pseudolikelihood = -249.17053  (not concave)
Iteration 41:  log pseudolikelihood = -249.15899  (not concave)
Iteration 42:  log pseudolikelihood = -249.14751  (not concave)
Iteration 43:  log pseudolikelihood = -249.13606  (not concave)
Iteration 44:  log pseudolikelihood = -249.12467  (not concave)
Iteration 45:  log pseudolikelihood = -249.11332  (not concave)
Iteration 46:  log pseudolikelihood = -249.10201  (not concave)
Iteration 47:  log pseudolikelihood = -249.09074  (not concave)
Iteration 48:  log pseudolikelihood = -249.07951  (not concave)
Iteration 49:  log pseudolikelihood = -249.06832  (not concave)
Iteration 50:  log pseudolikelihood = -249.05717  (not concave)
Iteration 51:  log pseudolikelihood = -249.04604  (not concave)
Iteration 52:  log pseudolikelihood = -249.03496  (not concave)
Iteration 53:  log pseudolikelihood = -249.02391  (not concave)
Iteration 54:  log pseudolikelihood =  -249.0129  (not concave)
Iteration 55:  log pseudolikelihood = -249.00192  (not concave)
Iteration 56:  log pseudolikelihood = -248.99098  
Iteration 57:  log pseudolikelihood =  -248.2077  (backed up)
Iteration 58:  log pseudolikelihood = -247.06244  
Iteration 59:  log pseudolikelihood = -246.34574  
Iteration 60:  log pseudolikelihood = -245.70991  
Iteration 61:  log pseudolikelihood =  -245.5563  
Iteration 62:  log pseudolikelihood = -245.54792  
Iteration 63:  log pseudolikelihood = -245.54779  
Iteration 64:  log pseudolikelihood = -245.54779  

                                                Number of obs     =      5,501
                                                Wald chi2(13)     =      32.63
Log pseudolikelihood = -245.54779               Prob > chi2       =     0.0019

                                (Std. Err. adjusted for 209 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
V                  |
        wcchangedA |   .9669163   1.229732     0.79   0.432    -1.443313    3.377146
     capcheither20 |   3.928936   4.372306     0.90   0.369    -4.640626     12.4985
   regchangeeither |   .2395403   .8153904     0.29   0.769    -1.358596    1.837676
      chTEAltorBmt |   .1149404   .8035937     0.14   0.886    -1.460074    1.689955
           alformA |   2.518828   3.817679     0.66   0.509    -4.963684    10.00134
             demdA |   .3473459   1.250332     0.28   0.781    -2.103259    2.797951
         asymmetry |  -.4584169   1.060852    -0.43   0.666    -2.537648    1.620814
          nomicoop |  -.9520492   .7589363    -1.25   0.210    -2.439537    .5354386
            treaty |   -.933592   1.713132    -0.54   0.586    -4.291268    2.424084
           milinst |   3.246997   2.047961     1.59   0.113    -.7669317    7.260926
              time |  -.3404818   .2571126    -1.32   0.185    -.8444132    .1634496
        timesquare |   .0115792   .0103839     1.12   0.265    -.0087728    .0319313
          timecube |  -.0001163   .0001357    -0.86   0.392    -.0003823    .0001497
             _cons |  -1.053776   2.243859    -0.47   0.639    -5.451659    3.344107
-------------------+----------------------------------------------------------------
R                  |
    Threat_combine |   1.269977   .6515132     1.95   0.051    -.0069659    2.546919
num_dems_on_border |  -.0535904   .0645888    -0.83   0.407    -.1801822    .0730013
       num_borders |    .020635   .0423151     0.49   0.626    -.0623011    .1035711
           coldwar |   .0342712    .166354     0.21   0.837    -.2917766    .3603191
       Lenergy_pop |  -.0518293   .0383227    -1.35   0.176    -.1269404    .0232817
           Oil_exp |   .2932138   .2437224     1.20   0.229    -.1844734     .770901
           maj_pow |   .0163443   .2174742     0.08   0.940    -.4098972    .4425859
         kgd_rival |  -.0458228   .1833275    -0.25   0.803    -.4051381    .3134926
         mill_ally |  -.4503431    .381279    -1.18   0.238    -1.197636    .2969501
             _cons |   -2.04457   .2957813    -6.91   0.000    -2.624291    -1.46485
------------------------------------------------------------------------------------

.                         estimates store sp_prob_millallyR;

.                                 ml model lf sp_prob_lf  
>                         (V: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube mill_ally)
>                         (R: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2_probit 0 B1, copy ;

.                 ml search;
initial:       log pseudolikelihood = -703.35067
rescale:       log pseudolikelihood = -292.94319
rescale eq:    log pseudolikelihood = -288.94817

.                 ml maximize, diff;

initial:       log pseudolikelihood = -288.94817
rescale:       log pseudolikelihood = -288.94817
rescale eq:    log pseudolikelihood = -288.94817
Iteration 0:   log pseudolikelihood = -288.94817  (not concave)
Iteration 1:   log pseudolikelihood =  -280.2317  (not concave)
Iteration 2:   log pseudolikelihood = -275.24905  (not concave)
Iteration 3:   log pseudolikelihood = -272.36819  (not concave)
Iteration 4:   log pseudolikelihood = -267.23864  (not concave)
Iteration 5:   log pseudolikelihood = -264.45837  (not concave)
Iteration 6:   log pseudolikelihood = -262.88401  (not concave)
Iteration 7:   log pseudolikelihood = -261.25035  (not concave)
Iteration 8:   log pseudolikelihood = -260.14895  (not concave)
Iteration 9:   log pseudolikelihood = -259.16205  (not concave)
Iteration 10:  log pseudolikelihood = -258.72476  (not concave)
Iteration 11:  log pseudolikelihood = -258.35916  (not concave)
Iteration 12:  log pseudolikelihood = -258.00326  (not concave)
Iteration 13:  log pseudolikelihood = -257.66851  (not concave)
Iteration 14:  log pseudolikelihood =    -257.35  (not concave)
Iteration 15:  log pseudolikelihood = -257.04815  (not concave)
Iteration 16:  log pseudolikelihood = -256.76039  (not concave)
Iteration 17:  log pseudolikelihood =  -256.4888  (not concave)
Iteration 18:  log pseudolikelihood = -256.22968  (not concave)
Iteration 19:  log pseudolikelihood = -255.98458  (not concave)
Iteration 20:  log pseudolikelihood = -255.75087  (not concave)
Iteration 21:  log pseudolikelihood =  -255.5297  (not concave)
Iteration 22:  log pseudolikelihood = -255.31855  (not concave)
Iteration 23:  log pseudolikelihood = -255.11843  (not concave)
Iteration 24:  log pseudolikelihood = -254.92719  (not concave)
Iteration 25:  log pseudolikelihood = -254.74565  (not concave)
Iteration 26:  log pseudolikelihood = -254.57193  (not concave)
Iteration 27:  log pseudolikelihood =  -254.4067  (not concave)
Iteration 28:  log pseudolikelihood = -254.24837  (not concave)
Iteration 29:  log pseudolikelihood =  -254.0975  (not concave)
Iteration 30:  log pseudolikelihood = -253.95269  (not concave)
Iteration 31:  log pseudolikelihood = -253.81443  (not concave)
Iteration 32:  log pseudolikelihood = -253.68152  (not concave)
Iteration 33:  log pseudolikelihood = -253.55438  (not concave)
Iteration 34:  log pseudolikelihood = -253.43195  (not concave)
Iteration 35:  log pseudolikelihood = -253.31463  (not concave)
Iteration 36:  log pseudolikelihood = -253.20148  (not concave)
Iteration 37:  log pseudolikelihood = -253.09285  (not concave)
Iteration 38:  log pseudolikelihood = -252.98793  (not concave)
Iteration 39:  log pseudolikelihood = -252.88702  (not concave)
Iteration 40:  log pseudolikelihood = -252.78942  (not concave)
Iteration 41:  log pseudolikelihood =  -252.6954  (not concave)
Iteration 42:  log pseudolikelihood = -252.60434  (not concave)
Iteration 43:  log pseudolikelihood = -252.51648  (not concave)
Iteration 44:  log pseudolikelihood = -252.43128  (not concave)
Iteration 45:  log pseudolikelihood = -252.34896  (not concave)
Iteration 46:  log pseudolikelihood = -252.26902  (not concave)
Iteration 47:  log pseudolikelihood = -252.19169  (not concave)
Iteration 48:  log pseudolikelihood = -252.11651  (not concave)
Iteration 49:  log pseudolikelihood = -252.04369  (not concave)
Iteration 50:  log pseudolikelihood = -251.97282  (not concave)
Iteration 51:  log pseudolikelihood = -251.90409  (not concave)
Iteration 52:  log pseudolikelihood = -251.83714  (not concave)
Iteration 53:  log pseudolikelihood = -251.77213  (not concave)
Iteration 54:  log pseudolikelihood = -251.70874  (not concave)
Iteration 55:  log pseudolikelihood = -251.64714  (not concave)
Iteration 56:  log pseudolikelihood = -251.58701  (not concave)
Iteration 57:  log pseudolikelihood = -251.52852  (not concave)
Iteration 58:  log pseudolikelihood = -251.47139  (not concave)
Iteration 59:  log pseudolikelihood = -251.41576  (not concave)
Iteration 60:  log pseudolikelihood = -251.36138  (not concave)
Iteration 61:  log pseudolikelihood = -251.30838  (not concave)
Iteration 62:  log pseudolikelihood = -251.25653  (not concave)
Iteration 63:  log pseudolikelihood = -251.20596  (not concave)
Iteration 64:  log pseudolikelihood = -251.15646  (not concave)
Iteration 65:  log pseudolikelihood = -251.10814  (not concave)
Iteration 66:  log pseudolikelihood = -251.06081  (not concave)
Iteration 67:  log pseudolikelihood = -251.01457  (not concave)
Iteration 68:  log pseudolikelihood = -250.96926  (not concave)
Iteration 69:  log pseudolikelihood = -250.92496  (not concave)
Iteration 70:  log pseudolikelihood = -250.88152  (not concave)
Iteration 71:  log pseudolikelihood = -250.83904  (not concave)
Iteration 72:  log pseudolikelihood = -250.79735  (not concave)
Iteration 73:  log pseudolikelihood = -250.75655  (not concave)
Iteration 74:  log pseudolikelihood = -250.71649  (not concave)
Iteration 75:  log pseudolikelihood = -250.67727  (not concave)
Iteration 76:  log pseudolikelihood = -250.63874  (not concave)
Iteration 77:  log pseudolikelihood =   -250.601  (not concave)
Iteration 78:  log pseudolikelihood = -250.56391  (not concave)
Iteration 79:  log pseudolikelihood = -250.52755  (not concave)
Iteration 80:  log pseudolikelihood =  -250.4918  (not concave)
Iteration 81:  log pseudolikelihood = -250.45675  (not concave)
Iteration 82:  log pseudolikelihood = -250.42227  (not concave)
Iteration 83:  log pseudolikelihood = -250.38845  (not concave)
Iteration 84:  log pseudolikelihood = -250.35516  (not concave)
Iteration 85:  log pseudolikelihood =  -250.3225  (not concave)
Iteration 86:  log pseudolikelihood = -250.29034  (not concave)
Iteration 87:  log pseudolikelihood = -250.25877  (not concave)
Iteration 88:  log pseudolikelihood = -250.22767  (not concave)
Iteration 89:  log pseudolikelihood = -250.19713  (not concave)
Iteration 90:  log pseudolikelihood = -250.16705  (not concave)
Iteration 91:  log pseudolikelihood = -250.13749  (not concave)
Iteration 92:  log pseudolikelihood = -250.10836  (not concave)
Iteration 93:  log pseudolikelihood = -250.07972  (not concave)
Iteration 94:  log pseudolikelihood =  -250.0515  (not concave)
Iteration 95:  log pseudolikelihood = -250.02374  (not concave)
Iteration 96:  log pseudolikelihood = -249.99638  (not concave)
Iteration 97:  log pseudolikelihood = -249.96946  (not concave)
Iteration 98:  log pseudolikelihood = -249.94291  (not concave)
Iteration 99:  log pseudolikelihood = -249.91679  (not concave)
Iteration 100: log pseudolikelihood = -249.89102  (not concave)
Iteration 101: log pseudolikelihood = -249.86565  (not concave)
Iteration 102: log pseudolikelihood = -249.84062  (not concave)
Iteration 103: log pseudolikelihood = -249.81597  (not concave)
Iteration 104: log pseudolikelihood = -249.79165  (not concave)
Iteration 105: log pseudolikelihood = -249.76769  (not concave)
Iteration 106: log pseudolikelihood = -249.74404  (not concave)
Iteration 107: log pseudolikelihood = -249.72074  (not concave)
Iteration 108: log pseudolikelihood = -249.69774  (not concave)
Iteration 109: log pseudolikelihood = -249.67507  (not concave)
Iteration 110: log pseudolikelihood = -249.65268  (not concave)
Iteration 111: log pseudolikelihood =  -249.6306  (not concave)
Iteration 112: log pseudolikelihood =  -249.6088  (not concave)
Iteration 113: log pseudolikelihood = -249.58731  (not concave)
Iteration 114: log pseudolikelihood = -249.56607  (not concave)
Iteration 115: log pseudolikelihood = -249.54512  (not concave)
Iteration 116: log pseudolikelihood = -249.52442  (not concave)
Iteration 117: log pseudolikelihood =   -249.504  (not concave)
Iteration 118: log pseudolikelihood = -249.48382  (not concave)
Iteration 119: log pseudolikelihood = -249.46391  (not concave)
Iteration 120: log pseudolikelihood = -249.44423  (not concave)
Iteration 121: log pseudolikelihood =  -249.4248  (not concave)
Iteration 122: log pseudolikelihood =  -249.4056  (not concave)
Iteration 123: log pseudolikelihood = -249.38664  (not concave)
Iteration 124: log pseudolikelihood = -249.36789  (not concave)
Iteration 125: log pseudolikelihood = -249.34938  (not concave)
Iteration 126: log pseudolikelihood = -249.33107  (not concave)
Iteration 127: log pseudolikelihood =   -249.313  (not concave)
Iteration 128: log pseudolikelihood = -249.29511  (not concave)
Iteration 129: log pseudolikelihood = -249.27745  (not concave)
Iteration 130: log pseudolikelihood = -249.25998  (not concave)
Iteration 131: log pseudolikelihood = -249.24272  (not concave)
Iteration 132: log pseudolikelihood = -249.22563  (not concave)
Iteration 133: log pseudolikelihood = -249.20876  (not concave)
Iteration 134: log pseudolikelihood = -249.19206  (not concave)
Iteration 135: log pseudolikelihood = -249.17555  (not concave)
Iteration 136: log pseudolikelihood = -249.15922  (not concave)
Iteration 137: log pseudolikelihood = -249.14307  (not concave)
Iteration 138: log pseudolikelihood = -249.12709  (not concave)
Iteration 139: log pseudolikelihood = -249.11129  (not concave)
Iteration 140: log pseudolikelihood = -249.09565  (not concave)
Iteration 141: log pseudolikelihood = -249.08019  (not concave)
Iteration 142: log pseudolikelihood = -249.06487  (not concave)
Iteration 143: log pseudolikelihood = -249.04973  (not concave)
Iteration 144: log pseudolikelihood = -249.03474  (not concave)
Iteration 145: log pseudolikelihood = -249.01991  (not concave)
Iteration 146: log pseudolikelihood = -249.00522  (not concave)
Iteration 147: log pseudolikelihood =  -248.9907  (not concave)
Iteration 148: log pseudolikelihood = -248.97631  (not concave)
Iteration 149: log pseudolikelihood = -248.96207  (not concave)
Iteration 150: log pseudolikelihood = -248.94797  (not concave)
Iteration 151: log pseudolikelihood = -248.93402  (not concave)
Iteration 152: log pseudolikelihood =  -248.9202  (not concave)
Iteration 153: log pseudolikelihood = -248.90652  (not concave)
Iteration 154: log pseudolikelihood = -248.89297  (not concave)
Iteration 155: log pseudolikelihood = -248.87956  (not concave)
Iteration 156: log pseudolikelihood = -248.86627  (not concave)
Iteration 157: log pseudolikelihood = -248.85311  (not concave)
Iteration 158: log pseudolikelihood = -248.84008  (not concave)
Iteration 159: log pseudolikelihood = -248.82717  (not concave)
Iteration 160: log pseudolikelihood = -248.81438  (not concave)
Iteration 161: log pseudolikelihood = -248.80172  (not concave)
Iteration 162: log pseudolikelihood = -248.78917  (not concave)
Iteration 163: log pseudolikelihood = -248.77674  (not concave)
Iteration 164: log pseudolikelihood = -248.76442  (not concave)
Iteration 165: log pseudolikelihood = -248.75222  (not concave)
Iteration 166: log pseudolikelihood = -248.74013  (not concave)
Iteration 167: log pseudolikelihood = -248.72815  (not concave)
Iteration 168: log pseudolikelihood = -248.71627  (not concave)
Iteration 169: log pseudolikelihood = -248.70451  (not concave)
Iteration 170: log pseudolikelihood = -248.69285  (not concave)
Iteration 171: log pseudolikelihood =  -248.6813  (not concave)
Iteration 172: log pseudolikelihood = -248.66984  (not concave)
Iteration 173: log pseudolikelihood = -248.65849  (not concave)
Iteration 174: log pseudolikelihood = -248.64724  (not concave)
Iteration 175: log pseudolikelihood = -248.63609  (not concave)
Iteration 176: log pseudolikelihood = -248.62502  (not concave)
Iteration 177: log pseudolikelihood = -248.61407  (not concave)
Iteration 178: log pseudolikelihood =  -248.6032  (not concave)
Iteration 179: log pseudolikelihood = -248.59243  (not concave)
Iteration 180: log pseudolikelihood = -248.58174  (not concave)
Iteration 181: log pseudolikelihood = -248.57115  (not concave)
Iteration 182: log pseudolikelihood = -248.56065  (not concave)
Iteration 183: log pseudolikelihood = -248.55024  (not concave)
Iteration 184: log pseudolikelihood = -248.53991  (not concave)
Iteration 185: log pseudolikelihood = -248.52967  (not concave)
Iteration 186: log pseudolikelihood = -248.51951  (not concave)
Iteration 187: log pseudolikelihood = -248.50944  (not concave)
Iteration 188: log pseudolikelihood = -248.49945  (not concave)
Iteration 189: log pseudolikelihood = -248.48955  
Iteration 190: log pseudolikelihood =  -248.3569  (backed up)
Iteration 191: log pseudolikelihood = -246.54196  
Iteration 192: log pseudolikelihood = -246.05744  
Iteration 193: log pseudolikelihood = -245.86787  
Iteration 194: log pseudolikelihood = -245.85992  
Iteration 195: log pseudolikelihood = -245.85985  
Iteration 196: log pseudolikelihood = -245.85985  

                                                Number of obs     =      5,501
                                                Wald chi2(14)     =      37.10
Log pseudolikelihood = -245.85985               Prob > chi2       =     0.0007

                                (Std. Err. adjusted for 209 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
V                  |
        wcchangedA |   .9567928   .8363745     1.14   0.253    -.6824711    2.596057
     capcheither20 |   3.413146   2.530723     1.35   0.177    -1.546979    8.373271
   regchangeeither |   .3322092   .6591797     0.50   0.614    -.9597594    1.624178
      chTEAltorBmt |   .2242091   .6912243     0.32   0.746    -1.130566    1.578984
           alformA |   2.121397   2.150072     0.99   0.324    -2.092666     6.33546
             demdA |   .6109869   .8841196     0.69   0.490    -1.121856    2.343829
         asymmetry |  -.4911936   .7496496    -0.66   0.512     -1.96048    .9780925
          nomicoop |  -.9684644   .6738647    -1.44   0.151    -2.289215    .3522862
            treaty |   -.693644    .981935    -0.71   0.480    -2.618201    1.230913
           milinst |   3.416227   1.547266     2.21   0.027     .3836417    6.448812
              time |  -.3110276   .2032709    -1.53   0.126    -.7094311     .087376
        timesquare |   .0103103    .008326     1.24   0.216    -.0060083     .026629
          timecube |  -.0001001   .0001044    -0.96   0.338    -.0003047    .0001045
         mill_ally |  -1.315639   1.433248    -0.92   0.359    -4.124754    1.493475
             _cons |  -.5694142   1.818689    -0.31   0.754     -4.13398    2.995152
-------------------+----------------------------------------------------------------
R                  |
    Threat_combine |   1.380158   .5939249     2.32   0.020      .216087     2.54423
num_dems_on_border |  -.0620025   .0633848    -0.98   0.328    -.1862345    .0622295
       num_borders |   .0266419   .0384529     0.69   0.488    -.0487243    .1020082
           coldwar |   .0246819   .1488098     0.17   0.868      -.26698    .3163438
       Lenergy_pop |  -.0450719   .0387061    -1.16   0.244    -.1209344    .0307906
           Oil_exp |   .3285717   .2243552     1.46   0.143    -.1111564    .7682999
           maj_pow |   -.003285   .2185553    -0.02   0.988    -.4316456    .4250755
         kgd_rival |  -.0375482   .1853874    -0.20   0.839    -.4009007    .3258044
             _cons |  -2.235484   .2076667   -10.76   0.000    -2.642503   -1.828465
------------------------------------------------------------------------------------

.                         estimates store sp_prob_millallyV;

.                                         ml model lf sp_prob_lf  
>                         (V: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube mill_ally)
>                         (R: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv mill_ally) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2_probit 0 B1_ma, copy ;

.                 ml search;
initial:       log pseudolikelihood = -310.32556
rescale:       log pseudolikelihood = -310.32556
rescale eq:    log pseudolikelihood = -285.78524

.                 ml maximize, diff;

initial:       log pseudolikelihood = -285.78524
rescale:       log pseudolikelihood = -285.78524
rescale eq:    log pseudolikelihood = -285.78524
Iteration 0:   log pseudolikelihood = -285.78524  (not concave)
Iteration 1:   log pseudolikelihood = -280.67346  (not concave)
Iteration 2:   log pseudolikelihood = -278.08988  (not concave)
Iteration 3:   log pseudolikelihood = -276.24987  (not concave)
Iteration 4:   log pseudolikelihood = -273.56876  (not concave)
Iteration 5:   log pseudolikelihood = -270.47772  (not concave)
Iteration 6:   log pseudolikelihood =  -264.0866  (not concave)
Iteration 7:   log pseudolikelihood =  -261.5844  (not concave)
Iteration 8:   log pseudolikelihood = -260.45817  (not concave)
Iteration 9:   log pseudolikelihood = -259.93595  (not concave)
Iteration 10:  log pseudolikelihood = -259.24177  (not concave)
Iteration 11:  log pseudolikelihood = -258.06858  (not concave)
Iteration 12:  log pseudolikelihood =  -257.1716  (not concave)
Iteration 13:  log pseudolikelihood = -256.40702  (not concave)
Iteration 14:  log pseudolikelihood =  -256.2054  (not concave)
Iteration 15:  log pseudolikelihood = -255.67999  (not concave)
Iteration 16:  log pseudolikelihood = -255.05468  (not concave)
Iteration 17:  log pseudolikelihood = -254.88694  (not concave)
Iteration 18:  log pseudolikelihood = -253.79561  (not concave)
Iteration 19:  log pseudolikelihood = -253.01807  (not concave)
Iteration 20:  log pseudolikelihood = -252.91798  (not concave)
Iteration 21:  log pseudolikelihood = -252.78723  (not concave)
Iteration 22:  log pseudolikelihood = -252.63121  (not concave)
Iteration 23:  log pseudolikelihood = -252.54826  (not concave)
Iteration 24:  log pseudolikelihood = -252.20837  (not concave)
Iteration 25:  log pseudolikelihood = -252.03776  (not concave)
Iteration 26:  log pseudolikelihood = -251.88806  (not concave)
Iteration 27:  log pseudolikelihood = -251.76739  (not concave)
Iteration 28:  log pseudolikelihood = -251.64487  (not concave)
Iteration 29:  log pseudolikelihood = -251.56857  (not concave)
Iteration 30:  log pseudolikelihood = -251.50563  (not concave)
Iteration 31:  log pseudolikelihood =  -251.4461  (not concave)
Iteration 32:  log pseudolikelihood = -251.38673  (not concave)
Iteration 33:  log pseudolikelihood = -251.32858  (not concave)
Iteration 34:  log pseudolikelihood = -251.27208  (not concave)
Iteration 35:  log pseudolikelihood =   -251.217  (not concave)
Iteration 36:  log pseudolikelihood =  -251.1629  (not concave)
Iteration 37:  log pseudolikelihood = -251.11008  (not concave)
Iteration 38:  log pseudolikelihood = -251.05836  (not concave)
Iteration 39:  log pseudolikelihood = -251.00782  (not concave)
Iteration 40:  log pseudolikelihood = -250.95824  (not concave)
Iteration 41:  log pseudolikelihood = -250.90978  (not concave)
Iteration 42:  log pseudolikelihood = -250.86223  (not concave)
Iteration 43:  log pseudolikelihood = -250.81572  (not concave)
Iteration 44:  log pseudolikelihood = -250.77006  (not concave)
Iteration 45:  log pseudolikelihood = -250.72537  (not concave)
Iteration 46:  log pseudolikelihood = -250.68149  (not concave)
Iteration 47:  log pseudolikelihood = -250.63851  (not concave)
Iteration 48:  log pseudolikelihood = -250.59628  (not concave)
Iteration 49:  log pseudolikelihood =  -250.5549  (not concave)
Iteration 50:  log pseudolikelihood = -250.51423  (not concave)
Iteration 51:  log pseudolikelihood = -250.47436  (not concave)
Iteration 52:  log pseudolikelihood = -250.43516  (not concave)
Iteration 53:  log pseudolikelihood = -250.39671  (not concave)
Iteration 54:  log pseudolikelihood = -250.35888  (not concave)
Iteration 55:  log pseudolikelihood = -250.32177  (not concave)
Iteration 56:  log pseudolikelihood = -250.28525  (not concave)
Iteration 57:  log pseudolikelihood = -250.24939  (not concave)
Iteration 58:  log pseudolikelihood =  -250.2141  (not concave)
Iteration 59:  log pseudolikelihood = -250.17943  (not concave)
Iteration 60:  log pseudolikelihood =  -250.1453  (not concave)
Iteration 61:  log pseudolikelihood = -250.11176  (not concave)
Iteration 62:  log pseudolikelihood = -250.07873  (not concave)
Iteration 63:  log pseudolikelihood = -250.04626  (not concave)
Iteration 64:  log pseudolikelihood = -250.01427  (not concave)
Iteration 65:  log pseudolikelihood = -249.98281  (not concave)
Iteration 66:  log pseudolikelihood =  -249.9518  (not concave)
Iteration 67:  log pseudolikelihood = -249.92131  (not concave)
Iteration 68:  log pseudolikelihood = -249.89124  (not concave)
Iteration 69:  log pseudolikelihood = -249.86166  (not concave)
Iteration 70:  log pseudolikelihood = -249.83248  (not concave)
Iteration 71:  log pseudolikelihood = -249.80377  (not concave)
Iteration 72:  log pseudolikelihood = -249.77544  (not concave)
Iteration 73:  log pseudolikelihood = -249.74755  (not concave)
Iteration 74:  log pseudolikelihood = -249.72003  (not concave)
Iteration 75:  log pseudolikelihood = -249.69294  (not concave)
Iteration 76:  log pseudolikelihood = -249.66619  (not concave)
Iteration 77:  log pseudolikelihood = -249.63984  (not concave)
Iteration 78:  log pseudolikelihood = -249.61383  (not concave)
Iteration 79:  log pseudolikelihood =  -249.5882  (not concave)
Iteration 80:  log pseudolikelihood = -249.56289  (not concave)
Iteration 81:  log pseudolikelihood = -249.53795  (not concave)
Iteration 82:  log pseudolikelihood = -249.51331  (not concave)
Iteration 83:  log pseudolikelihood = -249.48903  (not concave)
Iteration 84:  log pseudolikelihood = -249.46503  (not concave)
Iteration 85:  log pseudolikelihood = -249.44138  (not concave)
Iteration 86:  log pseudolikelihood =   -249.418  (not concave)
Iteration 87:  log pseudolikelihood = -249.39494  (not concave)
Iteration 88:  log pseudolikelihood = -249.37216  (not concave)
Iteration 89:  log pseudolikelihood = -249.34968  (not concave)
Iteration 90:  log pseudolikelihood = -249.32746  (not concave)
Iteration 91:  log pseudolikelihood = -249.30553  (not concave)
Iteration 92:  log pseudolikelihood = -249.28385  (not concave)
Iteration 93:  log pseudolikelihood = -249.26246  (not concave)
Iteration 94:  log pseudolikelihood =  -249.2413  (not concave)
Iteration 95:  log pseudolikelihood = -249.22042  (not concave)
Iteration 96:  log pseudolikelihood = -249.19977  (not concave)
Iteration 97:  log pseudolikelihood = -249.17938  (not concave)
Iteration 98:  log pseudolikelihood =  -249.1592  (not concave)
Iteration 99:  log pseudolikelihood = -249.13929  (not concave)
Iteration 100: log pseudolikelihood = -249.11958  (not concave)
Iteration 101: log pseudolikelihood = -249.10011  (not concave)
Iteration 102: log pseudolikelihood = -249.08085  (not concave)
Iteration 103: log pseudolikelihood = -249.06183  (not concave)
Iteration 104: log pseudolikelihood = -249.04299  (not concave)
Iteration 105: log pseudolikelihood = -249.02439  (not concave)
Iteration 106: log pseudolikelihood = -249.00598  (not concave)
Iteration 107: log pseudolikelihood = -248.98778  (not concave)
Iteration 108: log pseudolikelihood = -248.96976  (not concave)
Iteration 109: log pseudolikelihood = -248.95196  (not concave)
Iteration 110: log pseudolikelihood = -248.93433  (not concave)
Iteration 111: log pseudolikelihood =  -248.9169  (not concave)
Iteration 112: log pseudolikelihood = -248.89965  (not concave)
Iteration 113: log pseudolikelihood = -248.88259  (not concave)
Iteration 114: log pseudolikelihood = -248.86569  (not concave)
Iteration 115: log pseudolikelihood = -248.84899  (not concave)
Iteration 116: log pseudolikelihood = -248.83244  (not concave)
Iteration 117: log pseudolikelihood = -248.81608  (not concave)
Iteration 118: log pseudolikelihood = -248.79987  (not concave)
Iteration 119: log pseudolikelihood = -248.78383  (not concave)
Iteration 120: log pseudolikelihood = -248.76795  (not concave)
Iteration 121: log pseudolikelihood = -248.75224  (not concave)
Iteration 122: log pseudolikelihood = -248.73667  (not concave)
Iteration 123: log pseudolikelihood = -248.72126  (not concave)
Iteration 124: log pseudolikelihood =   -248.706  (not concave)
Iteration 125: log pseudolikelihood =  -248.6909  (not concave)
Iteration 126: log pseudolikelihood = -248.67593  (not concave)
Iteration 127: log pseudolikelihood = -248.66112  (not concave)
Iteration 128: log pseudolikelihood = -248.64643  (not concave)
Iteration 129: log pseudolikelihood =  -248.6319  (not concave)
Iteration 130: log pseudolikelihood =  -248.6175  (not concave)
Iteration 131: log pseudolikelihood = -248.60324  (not concave)
Iteration 132: log pseudolikelihood = -248.58911  (not concave)
Iteration 133: log pseudolikelihood = -248.57512  (not concave)
Iteration 134: log pseudolikelihood = -248.56124  (not concave)
Iteration 135: log pseudolikelihood = -248.54751  (not concave)
Iteration 136: log pseudolikelihood = -248.53389  (not concave)
Iteration 137: log pseudolikelihood =  -248.5204  (not concave)
Iteration 138: log pseudolikelihood = -248.50703  (not concave)
Iteration 139: log pseudolikelihood = -248.49379  (not concave)
Iteration 140: log pseudolikelihood = -248.48065  (not concave)
Iteration 141: log pseudolikelihood = -248.46764  (not concave)
Iteration 142: log pseudolikelihood = -248.45474  (not concave)
Iteration 143: log pseudolikelihood = -248.44196  (not concave)
Iteration 144: log pseudolikelihood = -248.42929  (not concave)
Iteration 145: log pseudolikelihood = -248.41673  (not concave)
Iteration 146: log pseudolikelihood = -248.40427  (not concave)
Iteration 147: log pseudolikelihood = -248.39194  (not concave)
Iteration 148: log pseudolikelihood = -248.37969  (not concave)
Iteration 149: log pseudolikelihood = -248.36756  (not concave)
Iteration 150: log pseudolikelihood = -248.35553  (not concave)
Iteration 151: log pseudolikelihood =  -248.3436  (not concave)
Iteration 152: log pseudolikelihood = -248.33177  (not concave)
Iteration 153: log pseudolikelihood = -248.32005  (not concave)
Iteration 154: log pseudolikelihood = -248.30841  (not concave)
Iteration 155: log pseudolikelihood = -248.29688  (not concave)
Iteration 156: log pseudolikelihood = -248.28543  (not concave)
Iteration 157: log pseudolikelihood = -248.27409  (not concave)
Iteration 158: log pseudolikelihood = -248.26283  (not concave)
Iteration 159: log pseudolikelihood = -248.25168  (not concave)
Iteration 160: log pseudolikelihood =  -248.2406  (not concave)
Iteration 161: log pseudolikelihood = -248.22962  (not concave)
Iteration 162: log pseudolikelihood = -248.21872  (not concave)
Iteration 163: log pseudolikelihood = -248.20792  (not concave)
Iteration 164: log pseudolikelihood = -248.19719  (not concave)
Iteration 165: log pseudolikelihood = -248.18656  (not concave)
Iteration 166: log pseudolikelihood =   -248.176  (not concave)
Iteration 167: log pseudolikelihood = -248.16553  (not concave)
Iteration 168: log pseudolikelihood = -248.15514  (not concave)
Iteration 169: log pseudolikelihood = -248.14484  (not concave)
Iteration 170: log pseudolikelihood =  -248.1346  (not concave)
Iteration 171: log pseudolikelihood = -248.12446  (not concave)
Iteration 172: log pseudolikelihood = -248.11438  (not concave)
Iteration 173: log pseudolikelihood = -248.10439  (not concave)
Iteration 174: log pseudolikelihood = -248.09446  (not concave)
Iteration 175: log pseudolikelihood = -248.08462  (not concave)
Iteration 176: log pseudolikelihood = -248.07485  (not concave)
Iteration 177: log pseudolikelihood = -248.06515  (not concave)
Iteration 178: log pseudolikelihood = -248.05552  (not concave)
Iteration 179: log pseudolikelihood = -248.04597  (not concave)
Iteration 180: log pseudolikelihood = -248.03649  (not concave)
Iteration 181: log pseudolikelihood = -248.02707  (not concave)
Iteration 182: log pseudolikelihood = -248.01773  (not concave)
Iteration 183: log pseudolikelihood = -248.00845  (not concave)
Iteration 184: log pseudolikelihood = -247.99924  (not concave)
Iteration 185: log pseudolikelihood =  -247.9901  (not concave)
Iteration 186: log pseudolikelihood = -247.98102  (not concave)
Iteration 187: log pseudolikelihood = -247.97201  (not concave)
Iteration 188: log pseudolikelihood = -247.96306  (not concave)
Iteration 189: log pseudolikelihood = -247.95418  (not concave)
Iteration 190: log pseudolikelihood = -247.94536  (not concave)
Iteration 191: log pseudolikelihood =  -247.9366  (not concave)
Iteration 192: log pseudolikelihood =  -247.9279  (not concave)
Iteration 193: log pseudolikelihood = -247.91927  (not concave)
Iteration 194: log pseudolikelihood = -247.91069  (not concave)
Iteration 195: log pseudolikelihood = -247.90218  (not concave)
Iteration 196: log pseudolikelihood = -247.89372  (not concave)
Iteration 197: log pseudolikelihood = -247.88532  (not concave)
Iteration 198: log pseudolikelihood = -247.87698  (not concave)
Iteration 199: log pseudolikelihood =  -247.8687  (not concave)
Iteration 200: log pseudolikelihood = -247.86047  (not concave)
Iteration 201: log pseudolikelihood = -246.47553  
Iteration 202: log pseudolikelihood = -245.68644  
Iteration 203: log pseudolikelihood = -245.54493  
Iteration 204: log pseudolikelihood = -245.53601  
Iteration 205: log pseudolikelihood =  -245.5359  
Iteration 206: log pseudolikelihood =  -245.5359  

                                                Number of obs     =      5,501
                                                Wald chi2(14)     =      33.02
Log pseudolikelihood =  -245.5359               Prob > chi2       =     0.0029

                                (Std. Err. adjusted for 209 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
V                  |
        wcchangedA |   .9698611   .9877689     0.98   0.326    -.9661303    2.905852
     capcheither20 |   3.775776   4.395096     0.86   0.390    -4.838454    12.39001
   regchangeeither |   .2645485   .8416329     0.31   0.753    -1.385022    1.914119
      chTEAltorBmt |   .1344838    .707077     0.19   0.849    -1.251362    1.520329
           alformA |   2.398061   3.694337     0.65   0.516    -4.842706    9.638829
             demdA |   .4090538   1.470574     0.28   0.781    -2.473218    3.291326
         asymmetry |  -.4741107   .9700382    -0.49   0.625    -2.375351    1.427129
          nomicoop |  -.9701868   .7179869    -1.35   0.177    -2.377415    .4370415
            treaty |  -.8840342   1.618321    -0.55   0.585    -4.055885    2.287817
           milinst |   3.315904   1.907274     1.74   0.082    -.4222837    7.054092
              time |   -.333727   .2630541    -1.27   0.205    -.8493036    .1818496
        timesquare |   .0112685    .010514     1.07   0.284    -.0093386    .0318755
          timecube |  -.0001121   .0001356    -0.83   0.408    -.0003778    .0001537
         mill_ally |  -.3804908    3.23173    -0.12   0.906    -6.714565    5.953583
             _cons |  -.8669758   2.841149    -0.31   0.760    -6.435525    4.701573
-------------------+----------------------------------------------------------------
R                  |
    Threat_combine |   1.292096     .69439     1.86   0.063     -.068883    2.653076
num_dems_on_border |  -.0549333    .071403    -0.77   0.442    -.1948805    .0850139
       num_borders |   .0218604   .0463652     0.47   0.637    -.0690138    .1127346
           coldwar |   .0376691   .1641888     0.23   0.819     -.284135    .3594733
       Lenergy_pop |  -.0507872   .0397867    -1.28   0.202    -.1287677    .0271934
           Oil_exp |   .3009965   .2683156     1.12   0.262    -.2248925    .8268854
           maj_pow |   .0158757   .2139199     0.07   0.941    -.4033997     .435151
         kgd_rival |  -.0473895   .1870798    -0.25   0.800    -.4140592    .3192802
         mill_ally |  -.3959957   .6741435    -0.59   0.557    -1.717293    .9253012
             _cons |  -2.071694   .4226416    -4.90   0.000    -2.900057   -1.243332
------------------------------------------------------------------------------------

.                         estimates store sp_prob_millallyB;

.                                 /* Table A.9 Results */
>         estout sp*, stats(ll)
>         cells(b(star fmt(3)) se(par fmt(3)) ) 
>         starlevels(* 0.05) legend    
>         style(tex);

            &spl_prallyInstR &spl_prallyInstV &spl_prallyInstB &sp_prob_millallyR &sp_prob_millallyV &sp_prob_millallyB \\
            &        b/se &        b/se &        b/se &        b/se &        b/se &        b/se \\
V           &             &             &             &             &             &             \\
wcchangedA  &       1.694 &       1.729 &       1.706 &       0.967 &       0.957 &       0.970 \\
            &     (3.796) &     (3.684) &     (3.776) &     (1.230) &     (0.836) &     (0.988) \\
capcheither20&       8.104 &       7.538 &       8.071 &       3.929 &       3.413 &       3.776 \\
            &     (4.948) &     (8.941) &     (5.188) &     (4.372) &     (2.531) &     (4.395) \\
regchangeeither&       0.938 &       1.053 &       0.949 &       0.240 &       0.332 &       0.265 \\
            &     (2.567) &     (4.156) &     (2.681) &     (0.815) &     (0.659) &     (0.842) \\
chTEAltorBmt&       0.359 &       0.696 &       0.370 &       0.115 &       0.224 &       0.134 \\
            &     (2.104) &     (3.877) &     (1.980) &     (0.804) &     (0.691) &     (0.707) \\
alformA     &       5.170 &       4.840 &       5.144 &       2.519 &       2.121 &       2.398 \\
            &     (4.587) &    (10.876) &     (4.776) &     (3.818) &     (2.150) &     (3.694) \\
demdA       &       0.056 &       0.580 &       0.071 &       0.347 &       0.611 &       0.409 \\
            &     (2.537) &     (3.264) &     (2.446) &     (1.250) &     (0.884) &     (1.471) \\
asymmetry   &      -0.436 &      -0.460 &      -0.442 &      -0.458 &      -0.491 &      -0.474 \\
            &     (1.967) &     (2.733) &     (1.986) &     (1.061) &     (0.750) &     (0.970) \\
nomicoop    &      -2.115 &      -2.109 &      -2.129 &      -0.952 &      -0.968 &      -0.970 \\
            &     (2.350) &     (2.566) &     (2.438) &     (0.759) &     (0.674) &     (0.718) \\
treaty      &      -2.242 &      -1.818 &      -2.227 &      -0.934 &      -0.694 &      -0.884 \\
            &     (3.154) &     (2.441) &     (3.157) &     (1.713) &     (0.982) &     (1.618) \\
milinst     &       6.245*&       6.994 &       6.297 &       3.247 &       3.416*&       3.316 \\
            &     (3.116) &     (5.231) &     (3.969) &     (2.048) &     (1.547) &     (1.907) \\
time        &      -0.798 &      -0.728 &      -0.797 &      -0.340 &      -0.311 &      -0.334 \\
            &     (0.729) &     (0.780) &     (0.721) &     (0.257) &     (0.203) &     (0.263) \\
timesquare  &       0.027 &       0.024 &       0.027 &       0.012 &       0.010 &       0.011 \\
            &     (0.026) &     (0.030) &     (0.026) &     (0.010) &     (0.008) &     (0.011) \\
timecube    &      -0.000 &      -0.000 &      -0.000 &      -0.000 &      -0.000 &      -0.000 \\
            &     (0.000) &     (0.000) &     (0.000) &     (0.000) &     (0.000) &     (0.000) \\
pr_ally     &             &       1.355 &       0.089 &             &             &             \\
            &             &     (1.906) &     (2.671) &             &             &             \\
mill_ally   &             &             &             &             &      -1.316 &      -0.380 \\
            &             &             &             &             &     (1.433) &     (3.232) \\
_cons       &      -1.515 &      -3.071 &      -1.576 &      -1.054 &      -0.569 &      -0.867 \\
            &     (5.472) &    (11.554) &     (4.893) &     (2.244) &     (1.819) &     (2.841) \\
R           &             &             &             &             &             &             \\
Threat_combine&       2.795*&       3.023*&       2.804*&       1.270 &       1.380*&       1.292 \\
            &     (1.377) &     (1.354) &     (1.430) &     (0.652) &     (0.594) &     (0.694) \\
num_dems_on_border&      -0.135 &      -0.149 &      -0.135 &      -0.054 &      -0.062 &      -0.055 \\
            &     (0.151) &     (0.151) &     (0.154) &     (0.065) &     (0.063) &     (0.071) \\
num_borders &       0.046 &       0.053 &       0.046 &       0.021 &       0.027 &       0.022 \\
            &     (0.081) &     (0.097) &     (0.083) &     (0.042) &     (0.038) &     (0.046) \\
coldwar     &       0.114 &       0.093 &       0.117 &       0.034 &       0.025 &       0.038 \\
            &     (0.401) &     (0.395) &     (0.422) &     (0.166) &     (0.149) &     (0.164) \\
Lenergy_pop &      -0.111 &      -0.098 &      -0.110 &      -0.052 &      -0.045 &      -0.051 \\
            &     (0.097) &     (0.109) &     (0.099) &     (0.038) &     (0.039) &     (0.040) \\
Oil_exp     &       0.670 &       0.733 &       0.673 &       0.293 &       0.329 &       0.301 \\
            &     (0.483) &     (0.709) &     (0.517) &     (0.244) &     (0.224) &     (0.268) \\
maj_pow     &      -0.019 &      -0.084 &      -0.020 &       0.016 &      -0.003 &       0.016 \\
            &     (0.475) &     (0.572) &     (0.472) &     (0.217) &     (0.219) &     (0.214) \\
kgd_rival   &      -0.090 &      -0.050 &      -0.090 &      -0.046 &      -0.038 &      -0.047 \\
            &     (0.432) &     (0.512) &     (0.432) &     (0.183) &     (0.185) &     (0.187) \\
pr_ally     &       0.658 &             &       0.642 &             &             &             \\
            &     (0.514) &             &     (0.784) &             &             &             \\
mill_ally   &             &             &             &      -0.450 &             &      -0.396 \\
            &             &             &             &     (0.381) &             &     (0.674) \\
_cons       &      -4.793*&      -4.307*&      -4.784*&      -2.045*&      -2.235*&      -2.072*\\
            &     (0.633) &     (0.506) &     (0.676) &     (0.296) &     (0.208) &     (0.423) \\
ll          &    -245.073 &    -245.615 &    -245.073 &    -245.548 &    -245.860 &    -245.536 \\
* p<0.05

.                 /* Table A.10 */
>                 /* Censored probit of alliance formation and violation outcome (omits relevance) */
>                 heckprob violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA asymmetry  nomicoop treaty milinst time timesquare timecube
>                  , sel(CoW3allied = CoW3alliedlag pol5 poldif jtrel jtlin jteth mid10ab jtenmid jtmdct10 sqrtdist mpctdum lrnnewd) cluster(ccode1) robust;

Fitting probit model:

Iteration 0:   log pseudolikelihood = -211.87158  
Iteration 1:   log pseudolikelihood = -188.73498  
Iteration 2:   log pseudolikelihood = -185.09187  
Iteration 3:   log pseudolikelihood = -185.06264  
Iteration 4:   log pseudolikelihood = -185.06263  
Iteration 5:   log pseudolikelihood = -185.06263  

Fitting selection model:

Iteration 0:   log pseudolikelihood = -28395.657  
Iteration 1:   log pseudolikelihood = -6374.0199  
Iteration 2:   log pseudolikelihood = -4395.1164  
Iteration 3:   log pseudolikelihood =  -4009.007  
Iteration 4:   log pseudolikelihood = -3996.4054  
Iteration 5:   log pseudolikelihood = -3996.3234  
Iteration 6:   log pseudolikelihood = -3996.3233  

Fitting starting values:

Iteration 0:   log pseudolikelihood = -3314.6298  
Iteration 1:   log pseudolikelihood =  -208.4153  
Iteration 2:   log pseudolikelihood = -187.49547  
Iteration 3:   log pseudolikelihood = -185.08293  
Iteration 4:   log pseudolikelihood = -185.05893  
Iteration 5:   log pseudolikelihood = -185.05892  

Fitting full model:

Iteration 0:   log pseudolikelihood = -4181.3822  
Iteration 1:   log pseudolikelihood = -4181.3821  

Probit model with sample selection              Number of obs     =    669,458
                                                Censored obs      =    664,676
                                                Uncensored obs    =      4,782

                                                Wald chi2(13)     =     133.26
Log pseudolikelihood = -4181.382                Prob > chi2       =     0.0000

                                  (Std. Err. adjusted for 158 clusters in ccode1)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
violate         |
     wcchangedA |   .3820459   .2752971     1.39   0.165    -.1575266    .9216183
  capcheither20 |   .3977175   .1527861     2.60   0.009     .0982623    .6971727
regchangeeither |   .0079093   .1697565     0.05   0.963    -.3248072    .3406258
   chTEAltorBmt |  -.0775634   .1339055    -0.58   0.562    -.3400134    .1848865
        alformA |   .6314063   .1203269     5.25   0.000     .3955699    .8672426
          demdA |   -.370421   .2689338    -1.38   0.168    -.8975215    .1566795
      asymmetry |  -.3460557   .1523968    -2.27   0.023     -.644748   -.0473635
       nomicoop |  -.3449076   .1243058    -2.77   0.006    -.5885425   -.1012728
         treaty |  -.4067398   .1760692    -2.31   0.021    -.7518292   -.0616505
        milinst |   .1551251   .1104229     1.40   0.160    -.0612997    .3715499
           time |  -.0118458   .0311226    -0.38   0.703    -.0728449    .0491533
     timesquare |   .0003141   .0020415     0.15   0.878    -.0036872    .0043154
       timecube |   2.99e-06    .000032     0.09   0.926    -.0000598    .0000658
          _cons |  -2.203359   .2670457    -8.25   0.000    -2.726759    -1.67996
----------------+----------------------------------------------------------------
CoW3allied      |
  CoW3alliedlag |   3.842807   .0828881    46.36   0.000      3.68035    4.005265
           pol5 |  -.5547691   .1737375    -3.19   0.001    -.8952884   -.2142497
         poldif |  -.0294699   .0071911    -4.10   0.000    -.0435642   -.0153756
          jtrel |   .0073392   .0962784     0.08   0.939    -.1813631    .1960414
          jtlin |  -1.099126   .2026875    -5.42   0.000    -1.496387    -.701866
          jteth |    .369178   .1509129     2.45   0.014     .0733942    .6649618
        mid10ab |  -.0467221   .0735065    -0.64   0.525    -.1907921     .097348
        jtenmid |   .0926913   .0628338     1.48   0.140    -.0304608    .2158433
       jtmdct10 |   .0585115   .0129563     4.52   0.000     .0331177    .0839053
       sqrtdist |  -.0171152   .0022802    -7.51   0.000    -.0215843   -.0126461
        mpctdum |   1.007439   .1236756     8.15   0.000     .7650397    1.249839
        lrnnewd |   -.283374   .0487086    -5.82   0.000    -.3788412   -.1879068
          _cons |  -3.327043   .2319149   -14.35   0.000    -3.781588   -2.872498
----------------+----------------------------------------------------------------
        /athrho |  -.0103613   .1405783    -0.07   0.941    -.2858897    .2651671
----------------+----------------------------------------------------------------
            rho |  -.0103609   .1405632                     -.2783473    .2591221
---------------------------------------------------------------------------------
Wald test of indep. eqns. (rho = 0): chi2(1) =     0.01   Prob > chi2 = 0.9412

.                         estimates store heck_orig;

.                 /* Calculate Pr(R_i) to insert in censored probit outcome equation */
>                 ml model lf sp_prob_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2_probit B1_probit , copy ;

.                 ml search;
initial:       log pseudolikelihood = -553.53212
rescale:       log pseudolikelihood = -345.76029
rescale eq:    log pseudolikelihood = -345.76029

.                 ml maximize, diff;

initial:       log pseudolikelihood = -345.76029
rescale:       log pseudolikelihood = -345.76029
rescale eq:    log pseudolikelihood = -345.76029
Iteration 0:   log pseudolikelihood = -345.76029  (not concave)
Iteration 1:   log pseudolikelihood = -339.49471  
Iteration 2:   log pseudolikelihood = -339.16089  (backed up)
Iteration 3:   log pseudolikelihood = -332.10559  
Iteration 4:   log pseudolikelihood = -319.91211  (not concave)
Iteration 5:   log pseudolikelihood = -319.75142  (not concave)
Iteration 6:   log pseudolikelihood = -319.09909  (not concave)
Iteration 7:   log pseudolikelihood = -318.80908  (not concave)
Iteration 8:   log pseudolikelihood = -318.55867  (not concave)
Iteration 9:   log pseudolikelihood = -318.37504  (not concave)
Iteration 10:  log pseudolikelihood = -318.23204  (not concave)
Iteration 11:  log pseudolikelihood = -318.10319  (not concave)
Iteration 12:  log pseudolikelihood = -317.96071  (not concave)
Iteration 13:  log pseudolikelihood = -317.74415  (not concave)
Iteration 14:  log pseudolikelihood = -317.63033  (not concave)
Iteration 15:  log pseudolikelihood = -317.54564  (not concave)
Iteration 16:  log pseudolikelihood = -317.46605  (not concave)
Iteration 17:  log pseudolikelihood = -317.36817  (not concave)
Iteration 18:  log pseudolikelihood = -317.23567  (not concave)
Iteration 19:  log pseudolikelihood = -317.16842  (not concave)
Iteration 20:  log pseudolikelihood = -317.08307  (not concave)
Iteration 21:  log pseudolikelihood = -316.97285  (not concave)
Iteration 22:  log pseudolikelihood = -316.91398  (not concave)
Iteration 23:  log pseudolikelihood = -316.77435  (not concave)
Iteration 24:  log pseudolikelihood = -316.55404  (not concave)
Iteration 25:  log pseudolikelihood = -316.41466  (not concave)
Iteration 26:  log pseudolikelihood = -316.21411  (not concave)
Iteration 27:  log pseudolikelihood = -316.14933  (not concave)
Iteration 28:  log pseudolikelihood = -316.06949  (not concave)
Iteration 29:  log pseudolikelihood = -316.01133  (not concave)
Iteration 30:  log pseudolikelihood = -315.95511  (not concave)
Iteration 31:  log pseudolikelihood = -315.86764  (not concave)
Iteration 32:  log pseudolikelihood = -315.78129  (not concave)
Iteration 33:  log pseudolikelihood = -314.32052  
Iteration 34:  log pseudolikelihood = -310.43385  
Iteration 35:  log pseudolikelihood = -307.70673  
Iteration 36:  log pseudolikelihood = -307.37044  
Iteration 37:  log pseudolikelihood = -307.32948  
Iteration 38:  log pseudolikelihood = -307.32861  
Iteration 39:  log pseudolikelihood = -307.32861  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      44.43
Log pseudolikelihood = -307.32861               Prob > chi2       =     0.0000

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   3.014941   2.742693     1.10   0.272    -2.360639    8.390521
     capcheither20 |   1.594604    .715734     2.23   0.026     .1917908    2.997417
   regchangeeither |    .829139   .5063346     1.64   0.102    -.1632587    1.821537
      chTEAltorBmt |   .4078897   .4590943     0.89   0.374    -.4919185    1.307698
           alformA |   1.267249   .5548416     2.28   0.022     .1797793    2.354718
             demdA |   .7703225   .7499286     1.03   0.304    -.6995106    2.240156
         asymmetry |   -.939149   .4146939    -2.26   0.024    -1.751934   -.1263639
          nomicoop |  -1.367101   .5778368    -2.37   0.018    -2.499641   -.2345621
            treaty |   .7623705    .895009     0.85   0.394    -.9918149    2.516556
           milinst |   2.801568   1.141188     2.45   0.014     .5648801    5.038255
              time |  -.0428699   .1069675    -0.40   0.689    -.2525222    .1667825
        timesquare |  -.0024979   .0048458    -0.52   0.606    -.0119955    .0069998
          timecube |   .0000585   .0000641     0.91   0.362    -.0000671     .000184
             _cons |  -1.760704    .714225    -2.47   0.014    -3.160559   -.3608485
-------------------+----------------------------------------------------------------
G                  |
    Threat_combine |   1.959083   .4580112     4.28   0.000     1.061398    2.856769
num_dems_on_border |   -.117419    .049631    -2.37   0.018     -.214694   -.0201441
       num_borders |   .0519084   .0264209     1.96   0.049     .0001243    .1036925
           coldwar |   .1841349   .1198438     1.54   0.124    -.0507546    .4190244
       Lenergy_pop |  -.0668483    .036154    -1.85   0.064    -.1377089    .0040123
           Oil_exp |   .2760544   .1995648     1.38   0.167    -.1150855    .6671942
           maj_pow |   .2102666    .207165     1.01   0.310    -.1957694    .6163026
         kgd_rival |  -.0344188   .1632285    -0.21   0.833    -.3543408    .2855032
             _cons |  -2.509962   .1987574   -12.63   0.000    -2.899519   -2.120405
------------------------------------------------------------------------------------

.                 gen double rel = normal([G]_b[Threat_combine]*Threat_combine +[G]_b[num_dems_on_border]*num_dems_on_border 
>                                                         + [G]_b[num_borders]*num_borders 
>                                                         + [G]_b[cold]*cold + [G]_b[Lenergy_pop]*Lenergy_pop
>                                                         + [G]_b[Oil_exp]*Oil_exp +[G]_b[maj_pow]*maj_pow + [G]_b[kgd_riv]*kgd_riv 
>                                                         + [G]_b[_cons]);
(890,654 missing values generated)

.                 /* Estimate censored probit with Pr(R_i) in outcome equation */
>                 heckprob violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA asymmetry  nomicoop treaty milinst time timesquare timecube rel
>                  , sel(CoW3allied = CoW3alliedlag pol5 poldif jtrel jtlin jteth mid10ab jtenmid jtmdct10 sqrtdist mpctdum lrnnewd) cluster(ccode1) robust;

Fitting probit model:

Iteration 0:   log pseudolikelihood = -205.86388  
Iteration 1:   log pseudolikelihood = -178.34691  
Iteration 2:   log pseudolikelihood = -173.91705  
Iteration 3:   log pseudolikelihood = -173.85645  
Iteration 4:   log pseudolikelihood = -173.85635  
Iteration 5:   log pseudolikelihood = -173.85635  

Fitting selection model:

Iteration 0:   log pseudolikelihood = -27657.028  
Iteration 1:   log pseudolikelihood = -6222.9811  
Iteration 2:   log pseudolikelihood = -4267.5348  
Iteration 3:   log pseudolikelihood =  -3871.036  
Iteration 4:   log pseudolikelihood = -3856.9004  
Iteration 5:   log pseudolikelihood = -3856.8174  
Iteration 6:   log pseudolikelihood = -3856.8174  

Fitting starting values:

Iteration 0:   log pseudolikelihood = -3211.3509  
Iteration 1:   log pseudolikelihood = -200.64479  
Iteration 2:   log pseudolikelihood = -176.48919  
Iteration 3:   log pseudolikelihood = -173.46207  
Iteration 4:   log pseudolikelihood = -173.42101  
Iteration 5:   log pseudolikelihood =   -173.421  

Fitting full model:

Iteration 0:   log pseudolikelihood = -4030.2695  
Iteration 1:   log pseudolikelihood = -4030.2483  
Iteration 2:   log pseudolikelihood = -4030.2483  

Probit model with sample selection              Number of obs     =    669,309
                                                Censored obs      =    664,676
                                                Uncensored obs    =      4,633

                                                Wald chi2(14)     =     178.39
Log pseudolikelihood = -4030.248                Prob > chi2       =     0.0000

                                  (Std. Err. adjusted for 158 clusters in ccode1)
---------------------------------------------------------------------------------
                |               Robust
                |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
violate         |
     wcchangedA |   .4287376   .2936783     1.46   0.144    -.1468613    1.004337
  capcheither20 |   .3907024   .1619416     2.41   0.016     .0733027     .708102
regchangeeither |   .0847875   .1942111     0.44   0.662    -.2958593    .4654344
   chTEAltorBmt |   -.100306   .1334911    -0.75   0.452    -.3619437    .1613318
        alformA |   .5318939   .1289953     4.12   0.000     .2790677    .7847201
          demdA |  -.1311144   .2710175    -0.48   0.629    -.6622989    .4000702
      asymmetry |  -.5342649   .1716103    -3.11   0.002    -.8706149   -.1979149
       nomicoop |  -.3366164   .1219402    -2.76   0.006    -.5756148   -.0976179
         treaty |   -.321918   .1815276    -1.77   0.076    -.6777057    .0338696
        milinst |   .2271779   .1212755     1.87   0.061    -.0105176    .4648735
           time |   .0005158    .034467     0.01   0.988    -.0670384      .06807
     timesquare |  -.0001404   .0021032    -0.07   0.947    -.0042626    .0039818
       timecube |   6.61e-06   .0000319     0.21   0.836     -.000056    .0000692
            rel |   4.520189   1.002156     4.51   0.000     2.556001    6.484378
          _cons |  -2.444329   .3010672    -8.12   0.000     -3.03441   -1.854249
----------------+----------------------------------------------------------------
CoW3allied      |
  CoW3alliedlag |   3.867381   .0874423    44.23   0.000     3.695997    4.038765
           pol5 |  -.5590814   .1763893    -3.17   0.002    -.9047982   -.2133647
         poldif |  -.0291318   .0075442    -3.86   0.000    -.0439182   -.0143453
          jtrel |  -.0251148   .0962586    -0.26   0.794    -.2137781    .1635485
          jtlin |  -1.078102    .202881    -5.31   0.000    -1.475742   -.6804627
          jteth |   .3249653    .149626     2.17   0.030     .0317037     .618227
        mid10ab |   -.072026   .0746609    -0.96   0.335    -.2183586    .0743066
        jtenmid |     .08681   .0651033     1.33   0.182    -.0407901    .2144102
       jtmdct10 |   .0618024   .0133657     4.62   0.000     .0356061    .0879987
       sqrtdist |  -.0175743   .0023729    -7.41   0.000    -.0222251   -.0129235
        mpctdum |   1.009569   .1266165     7.97   0.000     .7614055    1.257733
        lrnnewd |  -.2911719   .0503277    -5.79   0.000    -.3898123   -.1925314
          _cons |  -3.368457   .2427983   -13.87   0.000    -3.844333   -2.892581
----------------+----------------------------------------------------------------
        /athrho |  -.1424139   .1183505    -1.20   0.229    -.3743766    .0895489
----------------+----------------------------------------------------------------
            rho |  -.1414588   .1159822                     -.3578139    .0893103
---------------------------------------------------------------------------------
Wald test of indep. eqns. (rho = 0): chi2(1) =     1.45   Prob > chi2 = 0.2289

.                         estimates store heck_rel;

.                                 /* Estimate censored probit with all relevance equation variables included the outcome equation */
>                 heckprob violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA asymmetry  nomicoop treaty milinst time timesquare timecube 
>                 Threat_combine num_dems_on_border num_borders  cold Lenergy_pop Oil_exp maj_pow kgd_riv
>                  , sel(CoW3allied = CoW3alliedlag pol5 poldif jtrel jtlin jteth mid10ab jtenmid jtmdct10 sqrtdist mpctdum lrnnewd) cluster(ccode1) robust;

Fitting probit model:

Iteration 0:   log pseudolikelihood = -205.86388  
Iteration 1:   log pseudolikelihood = -175.19896  
Iteration 2:   log pseudolikelihood = -168.86225  
Iteration 3:   log pseudolikelihood = -168.74722  
Iteration 4:   log pseudolikelihood = -168.74715  
Iteration 5:   log pseudolikelihood = -168.74715  

Fitting selection model:

Iteration 0:   log pseudolikelihood = -27657.028  
Iteration 1:   log pseudolikelihood = -6222.9811  
Iteration 2:   log pseudolikelihood = -4267.5348  
Iteration 3:   log pseudolikelihood =  -3871.036  
Iteration 4:   log pseudolikelihood = -3856.9004  
Iteration 5:   log pseudolikelihood = -3856.8174  
Iteration 6:   log pseudolikelihood = -3856.8174  

Fitting starting values:

Iteration 0:   log pseudolikelihood = -3211.3509  
Iteration 1:   log pseudolikelihood = -199.97099  
Iteration 2:   log pseudolikelihood = -172.91484  
Iteration 3:   log pseudolikelihood =  -168.3672  
Iteration 4:   log pseudolikelihood =  -168.3121  
Iteration 5:   log pseudolikelihood = -168.31207  
Iteration 6:   log pseudolikelihood = -168.31207  

Fitting full model:

Iteration 0:   log pseudolikelihood = -4025.1612  
Iteration 1:   log pseudolikelihood = -4025.1396  
Iteration 2:   log pseudolikelihood = -4025.1396  

Probit model with sample selection              Number of obs     =    669,309
                                                Censored obs      =    664,676
                                                Uncensored obs    =      4,633

                                                Wald chi2(21)     =     364.83
Log pseudolikelihood =  -4025.14                Prob > chi2       =     0.0000

                                     (Std. Err. adjusted for 158 clusters in ccode1)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
violate            |
        wcchangedA |   .3529274   .3196067     1.10   0.269    -.2734903     .979345
     capcheither20 |   .3507333   .1742672     2.01   0.044     .0091759    .6922907
   regchangeeither |   .0592677   .2093429     0.28   0.777    -.3510369    .4695723
      chTEAltorBmt |   -.102195   .1513734    -0.68   0.500    -.3988815    .1944915
           alformA |   .4877378   .1522151     3.20   0.001     .1894016     .786074
             demdA |   .0925184   .3328978     0.28   0.781    -.5599493     .744986
         asymmetry |  -.5650918   .2095147    -2.70   0.007    -.9757331   -.1544505
          nomicoop |  -.2357771   .1586427    -1.49   0.137     -.546711    .0751568
            treaty |  -.2519672   .1783675    -1.41   0.158    -.6015611    .0976267
           milinst |   .2299446   .1199031     1.92   0.055    -.0050612    .4649503
              time |   .0078425   .0373629     0.21   0.834    -.0653875    .0810725
        timesquare |  -.0002801   .0021283    -0.13   0.895    -.0044515    .0038913
          timecube |   7.55e-06   .0000318     0.24   0.812    -.0000548    .0000699
    Threat_combine |    1.04082   .4331708     2.40   0.016     .1918207    1.889819
num_dems_on_border |  -.0450467   .0705977    -0.64   0.523    -.1834156    .0933222
       num_borders |   .0289908   .0388442     0.75   0.455    -.0471424     .105124
           coldwar |  -.1843646   .1496178    -1.23   0.218    -.4776101    .1088809
       Lenergy_pop |  -.0577494   .0496254    -1.16   0.245    -.1550134    .0395146
           Oil_exp |   .4800171    .175596     2.73   0.006     .1358553    .8241789
           maj_pow |   .0691722   .2460816     0.28   0.779    -.4131388    .5514832
         kgd_rival |   .1718983   .2142323     0.80   0.422    -.2479893    .5917858
             _cons |  -2.776044   .3559222    -7.80   0.000    -3.473639   -2.078449
-------------------+----------------------------------------------------------------
CoW3allied         |
     CoW3alliedlag |   3.867383   .0874651    44.22   0.000     3.695955    4.038812
              pol5 |  -.5592072   .1762862    -3.17   0.002    -.9047218   -.2136927
            poldif |  -.0291385   .0075343    -3.87   0.000    -.0439055   -.0143714
             jtrel |  -.0251534   .0962243    -0.26   0.794    -.2137496    .1634428
             jtlin |  -1.078417   .2026291    -5.32   0.000    -1.475563   -.6812709
             jteth |     .32464   .1496547     2.17   0.030     .0313222    .6179577
           mid10ab |  -.0719059   .0746971    -0.96   0.336    -.2183096    .0744978
           jtenmid |   .0867296   .0650462     1.33   0.182    -.0407587    .2142179
          jtmdct10 |   .0617842   .0133749     4.62   0.000     .0355699    .0879984
          sqrtdist |  -.0175705   .0023725    -7.41   0.000    -.0222206   -.0129204
           mpctdum |   1.009724   .1266752     7.97   0.000      .761445    1.258003
           lrnnewd |  -.2912445   .0502965    -5.79   0.000    -.3898238   -.1926652
             _cons |  -3.368364   .2428274   -13.87   0.000    -3.844297   -2.892431
-------------------+----------------------------------------------------------------
           /athrho |  -.1480724   .1118135    -1.32   0.185    -.3672228     .071078
-------------------+----------------------------------------------------------------
               rho |  -.1469996   .1093973                     -.3515601    .0709585
------------------------------------------------------------------------------------
Wald test of indep. eqns. (rho = 0): chi2(1) =     1.75   Prob > chi2 = 0.1854

.                         estimates store heck_all;

.                         /* Table A.10 Results */
>         estout heck*,  stats(ll)
>         cells(b(star fmt(3)) se(par fmt(3)) ) 
>         starlevels(* 0.05) legend 
>         style(tex);

            &   heck_orig &    heck_rel &    heck_all \\
            &        b/se &        b/se &        b/se \\
violate     &             &             &             \\
wcchangedA  &       0.382 &       0.429 &       0.353 \\
            &     (0.275) &     (0.294) &     (0.320) \\
capcheither20&       0.398*&       0.391*&       0.351*\\
            &     (0.153) &     (0.162) &     (0.174) \\
regchangeeither&       0.008 &       0.085 &       0.059 \\
            &     (0.170) &     (0.194) &     (0.209) \\
chTEAltorBmt&      -0.078 &      -0.100 &      -0.102 \\
            &     (0.134) &     (0.133) &     (0.151) \\
alformA     &       0.631*&       0.532*&       0.488*\\
            &     (0.120) &     (0.129) &     (0.152) \\
demdA       &      -0.370 &      -0.131 &       0.093 \\
            &     (0.269) &     (0.271) &     (0.333) \\
asymmetry   &      -0.346*&      -0.534*&      -0.565*\\
            &     (0.152) &     (0.172) &     (0.210) \\
nomicoop    &      -0.345*&      -0.337*&      -0.236 \\
            &     (0.124) &     (0.122) &     (0.159) \\
treaty      &      -0.407*&      -0.322 &      -0.252 \\
            &     (0.176) &     (0.182) &     (0.178) \\
milinst     &       0.155 &       0.227 &       0.230 \\
            &     (0.110) &     (0.121) &     (0.120) \\
time        &      -0.012 &       0.001 &       0.008 \\
            &     (0.031) &     (0.034) &     (0.037) \\
timesquare  &       0.000 &      -0.000 &      -0.000 \\
            &     (0.002) &     (0.002) &     (0.002) \\
timecube    &       0.000 &       0.000 &       0.000 \\
            &     (0.000) &     (0.000) &     (0.000) \\
rel         &             &       4.520*&             \\
            &             &     (1.002) &             \\
Threat_combine&             &             &       1.041*\\
            &             &             &     (0.433) \\
num_dems_on_border&             &             &      -0.045 \\
            &             &             &     (0.071) \\
num_borders &             &             &       0.029 \\
            &             &             &     (0.039) \\
coldwar     &             &             &      -0.184 \\
            &             &             &     (0.150) \\
Lenergy_pop &             &             &      -0.058 \\
            &             &             &     (0.050) \\
Oil_exp     &             &             &       0.480*\\
            &             &             &     (0.176) \\
maj_pow     &             &             &       0.069 \\
            &             &             &     (0.246) \\
kgd_rival   &             &             &       0.172 \\
            &             &             &     (0.214) \\
_cons       &      -2.203*&      -2.444*&      -2.776*\\
            &     (0.267) &     (0.301) &     (0.356) \\
CoW3allied  &             &             &             \\
CoW3alliedlag&       3.843*&       3.867*&       3.867*\\
            &     (0.083) &     (0.087) &     (0.087) \\
pol5        &      -0.555*&      -0.559*&      -0.559*\\
            &     (0.174) &     (0.176) &     (0.176) \\
poldif      &      -0.029*&      -0.029*&      -0.029*\\
            &     (0.007) &     (0.008) &     (0.008) \\
jtrel       &       0.007 &      -0.025 &      -0.025 \\
            &     (0.096) &     (0.096) &     (0.096) \\
jtlin       &      -1.099*&      -1.078*&      -1.078*\\
            &     (0.203) &     (0.203) &     (0.203) \\
jteth       &       0.369*&       0.325*&       0.325*\\
            &     (0.151) &     (0.150) &     (0.150) \\
mid10ab     &      -0.047 &      -0.072 &      -0.072 \\
            &     (0.074) &     (0.075) &     (0.075) \\
jtenmid     &       0.093 &       0.087 &       0.087 \\
            &     (0.063) &     (0.065) &     (0.065) \\
jtmdct10    &       0.059*&       0.062*&       0.062*\\
            &     (0.013) &     (0.013) &     (0.013) \\
sqrtdist    &      -0.017*&      -0.018*&      -0.018*\\
            &     (0.002) &     (0.002) &     (0.002) \\
mpctdum     &       1.007*&       1.010*&       1.010*\\
            &     (0.124) &     (0.127) &     (0.127) \\
lrnnewd     &      -0.283*&      -0.291*&      -0.291*\\
            &     (0.049) &     (0.050) &     (0.050) \\
_cons       &      -3.327*&      -3.368*&      -3.368*\\
            &     (0.232) &     (0.243) &     (0.243) \\
athrho      &             &             &             \\
_cons       &      -0.010 &      -0.142 &      -0.148 \\
            &     (0.141) &     (0.118) &     (0.112) \\
ll          &   -4181.382 &   -4030.248 &   -4025.140 \\
* p<0.05

.         /* Figure A.2 */
>                 /* Load data */
>                 use Threat_MI, clear;

.                 /* Generate difference in value for t-1, t-2, and t-3 for each draw of territorial threat
>                 and merge with alliance formation data set */
>                 sort ccode1 year;

.                 xtset ccode1 year;
       panel variable:  ccode1 (unbalanced)
        time variable:  year, 1919 to 2008, but with gaps
                delta:  1 unit

.                 forvalues i=1/10 {;
  2.                         gen ChgThreat_y1_d`i' = D1.TerrThreat`i';
  3.                         gen ChgThreat_y2_d`i' = D2.TerrThreat`i';
  4.                         gen ChgThreat_y3_d`i' = D3.TerrThreat`i';
  5.                 };
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)
(226 missing values generated)
(439 missing values generated)
(647 missing values generated)

.                 merge 1:m ccode1 year using alliance_sel, gen(_merge_inter);

    Result                           # of obs.
    -----------------------------------------
    not matched                         2,357
        from master                     2,357  (_merge_inter==1)
        from using                          0  (_merge_inter==2)

    matched                           897,272  (_merge_inter==3)
    -----------------------------------------

.                         drop _merge_inter;

.                 /* Generage democracy variables */
>                 gen onedem=1 if demdB==1&demdA==0;
(898,580 missing values generated)

.                         recode onedem .=1 if demdA==1;
(onedem: 1901 changes made)

.                         recode onedem .=0;
(onedem: 896679 changes made)

.                 gen jointdem=1 if demdB==1&demdA==1;
(898,777 missing values generated)

.                         recode jointdem .=0;
(jointdem: 898777 changes made)

.                 /* Set up alliance data for intervention analysis */
>                 egen alliance_member=group(atop ccode1);
(892787 missing values generated)

.                 sort alliance_member year;

.                 gen firstatopyear=1 if alliance_member~=alliance_member[_n-1]&atop>2000;
(899,159 missing values generated)

.                 recode firstatopyear .=0;
(firstatopyear: 899159 changes made)

.                 recode firstatopyear 1=. if atop==.;
(firstatopyear: 1 changes made)

.                 /* Generate intervention, post-, and pre-intervention data */
>                 gen Intervention=0;

.                         replace Intervention=1 if firstatop==1;
(469 real changes made)

.                 gen Post1=0;

.                         replace Post1=1 if firstatop[_n-1]==1 & ccode1==ccode1[_n-1];
(446 real changes made)

.                 gen Post2=0;

.                         replace Post2=1 if firstatop[_n-2]==1 & ccode1==ccode1[_n-2];
(417 real changes made)

.                 gen Post3=0;

.                         replace Post3=1 if firstatop[_n-3]==1 & ccode1==ccode1[_n-3];
(389 real changes made)

.                 gen Post4=0;

.                         replace Post4=1 if firstatop[_n-4]==1 & ccode1==ccode1[_n-4];
(379 real changes made)

.                 gen Post5=0;

.                         replace Post5=1 if firstatop[_n-5]==1 & ccode1==ccode1[_n-5];
(359 real changes made)

.                 egen dyad = group(ccode1 ccode2);
(2357 missing values generated)

.                 sort dyad year;

.                 gen Pre1=0;

.                         replace Pre1=1 if firstatop[_n+1]==1 & dyad==dyad[_n+1] ;
(427 real changes made)

.                 gen Pre2=0;

.                         replace Pre2=1 if firstatop[_n+2]==1 & dyad==dyad[_n+2];
(411 real changes made)

.                 gen Pre3=0;

.                         replace Pre3=1 if firstatop[_n+3]==1 & dyad==dyad[_n+3] ;
(395 real changes made)

.                 gen Pre4=0;

.                         replace Pre4=1 if firstatop[_n+4]==1  & dyad==dyad[_n+4];
(388 real changes made)

.                 gen Pre5=0;

.                         replace Pre5=1 if firstatop[_n+5]==1  & dyad==dyad[_n+5];
(379 real changes made)

.                 /* Organize data for analysis */
>                 sort ccode1 ccode2 year ;

.                 order ccode1 ccode2 year atop firstatopyear Intervention Post* Pre* ChgThreat*;

.                 /*Analyze Threat t-3 for each value for 5 years pre- and post-intervention */
>                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Post5==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.06
       Model |  .053369472         2  .026684736   Prob > F        =    0.3459
    Residual |  8.92247289       356  .025063126   R-squared       =    0.0059
-------------+----------------------------------   Adj R-squared   =    0.0004
       Total |  8.97584236       358  .025072185   Root MSE        =    .15831

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0243587   .0190419     1.28   0.202      -.01309    .0618074
    jointdem |  -.0355237   .0298462    -1.19   0.235    -.0942207    .0231733
       _cons |  -.0055001   .0106978    -0.51   0.607     -.026539    .0155387
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.12
       Model |  .060194039         2   .03009702   Prob > F        =    0.3286
    Residual |  9.59704425       356  .026957989   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0007
       Total |  9.65723829       358  .026975526   Root MSE        =    .16419

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0257926   .0197486     1.31   0.192     -.013046    .0646311
    jointdem |  -.0378699   .0309539    -1.22   0.222    -.0987453    .0230055
       _cons |  -.0069487   .0110949    -0.63   0.532    -.0287684     .014871
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.14
       Model |     .064004         2     .032002   Prob > F        =    0.3224
    Residual |  10.0321411       356  .028180172   R-squared       =    0.0063
-------------+----------------------------------   Adj R-squared   =    0.0008
       Total |  10.0961451       358  .028201523   Root MSE        =    .16787

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0255099   .0201913     1.26   0.207    -.0141993    .0652191
    jointdem |  -.0408508   .0316478    -1.29   0.198    -.1030909    .0213892
       _cons |  -.0051412   .0113436    -0.45   0.651    -.0274501    .0171676
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.03
       Model |  .057021833         2  .028510917   Prob > F        =    0.3563
    Residual |   9.8072858       356  .027548556   R-squared       =    0.0058
-------------+----------------------------------   Adj R-squared   =    0.0002
       Total |  9.86430763       358  .027553932   Root MSE        =    .16598

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .025185   .0199637     1.26   0.208    -.0140767    .0644467
    jointdem |  -.0367066   .0312911    -1.17   0.242    -.0982452     .024832
       _cons |  -.0075969   .0112157    -0.68   0.499    -.0296543    .0144605
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.32
       Model |  .071398747         2  .035699373   Prob > F        =    0.2678
    Residual |  9.61053644       356  .026995889   R-squared       =    0.0074
-------------+----------------------------------   Adj R-squared   =    0.0018
       Total |  9.68193519       358  .027044512   Root MSE        =     .1643

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0271653   .0197625     1.37   0.170    -.0117005    .0660312
    jointdem |  -.0428098   .0309756    -1.38   0.168    -.1037279    .0181084
       _cons |  -.0075413   .0111027    -0.68   0.497    -.0293763    .0142938
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.11
       Model |  .067154506         2  .033577253   Prob > F        =    0.3291
    Residual |  10.7210925       356  .030115428   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0006
       Total |   10.788247       358  .030134768   Root MSE        =    .17354

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0272644   .0208731     1.31   0.192    -.0137856    .0683145
    jointdem |  -.0399598   .0327164    -1.22   0.223    -.1043015    .0243819
       _cons |  -.0067423   .0117266    -0.57   0.566    -.0298044    .0163199
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.04
       Model |  .059902326         2  .029951163   Prob > F        =    0.3552
    Residual |  10.2711159       356  .028851449   R-squared       =    0.0058
-------------+----------------------------------   Adj R-squared   =    0.0002
       Total |  10.3310182       358  .028857593   Root MSE        =    .16986

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0259801   .0204304     1.27   0.204    -.0141993    .0661595
    jointdem |  -.0373013   .0320225    -1.16   0.245    -.1002783    .0256757
       _cons |  -.0084764   .0114779    -0.74   0.461    -.0310494    .0140966
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.15
       Model |   .06302409         2  .031512045   Prob > F        =    0.3174
    Residual |  9.74288127       356  .027367644   R-squared       =    0.0064
-------------+----------------------------------   Adj R-squared   =    0.0008
       Total |  9.80590536       358  .027390797   Root MSE        =    .16543

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0253281   .0198981     1.27   0.204    -.0138044    .0644607
    jointdem |  -.0405156   .0311882    -1.30   0.195    -.1018518    .0208206
       _cons |  -.0054183   .0111788    -0.48   0.628    -.0274031    .0165666
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.87
       Model |   .04352804         2   .02176402   Prob > F        =    0.4203
    Residual |  8.91630478       356    .0250458   R-squared       =    0.0049
-------------+----------------------------------   Adj R-squared   =   -0.0007
       Total |  8.95983282       358  .025027466   Root MSE        =    .15826

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0223683   .0190353     1.18   0.241    -.0150675     .059804
    jointdem |   -.031348   .0298359    -1.05   0.294    -.0900247    .0273287
       _cons |  -.0081143   .0106941    -0.76   0.448    -.0291459    .0129173
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      1.11
       Model |  .066834805         2  .033417403   Prob > F        =    0.3294
    Residual |  10.6799359       356   .02999982   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0006
       Total |  10.7467708       358  .030018913   Root MSE        =     .1732

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0276693    .020833     1.33   0.185    -.0133019    .0686405
    jointdem |  -.0389438   .0326535    -1.19   0.234    -.1031619    .0252743
       _cons |  -.0095052   .0117041    -0.81   0.417     -.032523    .0135126
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.026   \\
            &     (0.020)   \\
jointdem    &      -0.039   \\
            &     (0.031)   \\
_cons       &      -0.007   \\
            &     (0.011)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Post5  = _b[onedem];

.                         gen se3_lo_demA_Post5 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Post5 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Post5  = _b[jointdem];

.                         gen se3_lo_2dem_Post5 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Post5 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Post4==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.70
       Model |  .100278413         2  .050139206   Prob > F        =    0.1847
    Residual |  11.1110236       376  .029550595   R-squared       =    0.0089
-------------+----------------------------------   Adj R-squared   =    0.0037
       Total |   11.211302       378  .029659529   Root MSE        =     .1719

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.035567   .0204531    -1.74   0.083    -.0757837    .0046496
    jointdem |   .0417991   .0313018     1.34   0.183    -.0197495    .1033476
       _cons |   .0132545   .0112137     1.18   0.238    -.0087949     .035304
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.18
       Model |  .078261724         2  .039130862   Prob > F        =    0.3076
    Residual |  12.4422605       376  .033091118   R-squared       =    0.0063
-------------+----------------------------------   Adj R-squared   =    0.0010
       Total |  12.5205222       378  .033123075   Root MSE        =    .18191

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0314298   .0216437    -1.45   0.147    -.0739876    .0111279
    jointdem |   .0368979   .0331239     1.11   0.266    -.0282335    .1020293
       _cons |   .0121527   .0118665     1.02   0.306    -.0111803    .0354856
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.50
       Model |  .104851176         2  .052425588   Prob > F        =    0.2242
    Residual |  13.1323645       376  .034926501   R-squared       =    0.0079
-------------+----------------------------------   Adj R-squared   =    0.0026
       Total |  13.2372157       378  .035019089   Root MSE        =    .18689

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0366415   .0222358    -1.65   0.100    -.0803636    .0070806
    jointdem |   .0418317   .0340302     1.23   0.220    -.0250816     .108745
       _cons |   .0152178   .0121911     1.25   0.213    -.0087535    .0391891
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.36
       Model |  .096366754         2  .048183377   Prob > F        =    0.2569
    Residual |  13.2839476       376  .035329648   R-squared       =    0.0072
-------------+----------------------------------   Adj R-squared   =    0.0019
       Total |  13.3803143       378  .035397657   Root MSE        =    .18796

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0356055   .0223638    -1.59   0.112    -.0795791    .0083682
    jointdem |   .0382714    .034226     1.12   0.264     -.029027    .1055697
       _cons |   .0163708   .0122613     1.34   0.183    -.0077385      .04048
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.50
       Model |  .098322602         2  .049161301   Prob > F        =    0.2234
    Residual |  12.2826318       376  .032666574   R-squared       =    0.0079
-------------+----------------------------------   Adj R-squared   =    0.0027
       Total |  12.3809544       378  .032753848   Root MSE        =    .18074

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0357334   .0215044    -1.66   0.097    -.0780173    .0065505
    jointdem |   .0395906   .0329108     1.20   0.230    -.0251217    .1043028
       _cons |    .016762   .0117901     1.42   0.156    -.0064209    .0399448
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.32
       Model |  .095508064         2  .047754032   Prob > F        =    0.2678
    Residual |  13.5822561       376  .036123021   R-squared       =    0.0070
-------------+----------------------------------   Adj R-squared   =    0.0017
       Total |  13.6777641       378  .036184561   Root MSE        =    .19006

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    -.03437   .0226135    -1.52   0.129    -.0788347    .0100947
    jointdem |   .0418259   .0346081     1.21   0.228    -.0262239    .1098757
       _cons |   .0120631   .0123982     0.97   0.331    -.0123154    .0364415
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.25
       Model |   .08789068         2   .04394534   Prob > F        =    0.2863
    Residual |  13.1662551       376  .035016636   R-squared       =    0.0066
-------------+----------------------------------   Adj R-squared   =    0.0013
       Total |  13.2541457       378  .035063878   Root MSE        =    .18713

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0333995   .0222645    -1.50   0.134    -.0771779     .010379
    jointdem |   .0388017    .034074     1.14   0.256    -.0281978    .1058013
       _cons |   .0152614   .0122068     1.25   0.212    -.0087409    .0392636
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.50
       Model |  .099662334         2  .049831167   Prob > F        =    0.2242
    Residual |  12.4823805       376   .03319782   R-squared       =    0.0079
-------------+----------------------------------   Adj R-squared   =    0.0026
       Total |  12.5820428       378  .033285828   Root MSE        =     .1822

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0355468   .0216785    -1.64   0.102    -.0781732    .0070795
    jointdem |   .0413814   .0331773     1.25   0.213    -.0238549    .1066177
       _cons |   .0146154   .0118856     1.23   0.220    -.0087551     .037986
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.05
       Model |  .067782223         2  .033891111   Prob > F        =    0.3508
    Residual |  12.1299391       376  .032260476   R-squared       =    0.0056
-------------+----------------------------------   Adj R-squared   =    0.0003
       Total |  12.1977214       378  .032269104   Root MSE        =    .17961

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0297996   .0213703    -1.39   0.164    -.0718199    .0122206
    jointdem |   .0323548   .0327056     0.99   0.323     -.031954    .0966635
       _cons |   .0141746   .0117166     1.21   0.227    -.0088637    .0372129
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.23
       Model |  .093162334         2  .046581167   Prob > F        =    0.2935
    Residual |  14.2424248       376  .037878789   R-squared       =    0.0065
-------------+----------------------------------   Adj R-squared   =    0.0012
       Total |  14.3355871       378  .037924834   Root MSE        =    .19462

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0348763   .0231565    -1.51   0.133    -.0804087    .0106562
    jointdem |   .0381731   .0354392     1.08   0.282    -.0315109     .107857
       _cons |   .0157193   .0126959     1.24   0.216    -.0092446    .0406832
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.035   \\
            &     (0.022)   \\
jointdem    &       0.040   \\
            &     (0.033)   \\
_cons       &       0.015   \\
            &     (0.012)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Post4  = _b[onedem];

.                         gen se3_lo_demA_Post4 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Post4 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Post4  = _b[jointdem];

.                         gen se3_lo_2dem_Post4 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Post4 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Post3==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.78
       Model |  .114084739         2  .057042369   Prob > F        =    0.1701
    Residual |  12.3733174       386  .032055226   R-squared       =    0.0091
-------------+----------------------------------   Adj R-squared   =    0.0040
       Total |  12.4874021       388  .032184026   Root MSE        =    .17904

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0385829   .0208256     1.85   0.065    -.0023628    .0795287
    jointdem |  -.0369525   .0323273    -1.14   0.254     -.100512    .0266071
       _cons |  -.0194599   .0115811    -1.68   0.094    -.0422299      .00331
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.22
       Model |  .083745868         2  .041872934   Prob > F        =    0.2962
    Residual |  13.2410432       386  .034303221   R-squared       =    0.0063
-------------+----------------------------------   Adj R-squared   =    0.0011
       Total |  13.3247891       388   .03434224   Root MSE        =    .18521

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0327966   .0215434     1.52   0.129    -.0095605    .0751537
    jointdem |  -.0331915   .0334416    -0.99   0.322    -.0989419     .032559
       _cons |  -.0162154   .0119803    -1.35   0.177    -.0397703    .0073394
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.44
       Model |  .112171384         2  .056085692   Prob > F        =    0.2380
    Residual |  15.0262382       386  .038928078   R-squared       =    0.0074
-------------+----------------------------------   Adj R-squared   =    0.0023
       Total |  15.1384096       388   .03901652   Root MSE        =     .1973

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0384715   .0229498     1.68   0.094    -.0066508    .0835937
    jointdem |  -.0350999   .0356247    -0.99   0.325    -.1051426    .0349428
       _cons |  -.0215489   .0127624    -1.69   0.092    -.0466415    .0035436
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.52
       Model |  .113109418         2  .056554709   Prob > F        =    0.2211
    Residual |  14.4071657       386  .037324263   R-squared       =    0.0078
-------------+----------------------------------   Adj R-squared   =    0.0026
       Total |  14.5202751       388   .03742339   Root MSE        =    .19319

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0388498   .0224721     1.73   0.085    -.0053332    .0830328
    jointdem |  -.0332137   .0348831    -0.95   0.342    -.1017983     .035371
       _cons |  -.0226307   .0124967    -1.81   0.071    -.0472009    .0019395
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.24
       Model |  .084924882         2  .042462441   Prob > F        =    0.2906
    Residual |  13.2194782       386  .034247353   R-squared       =    0.0064
-------------+----------------------------------   Adj R-squared   =    0.0012
       Total |  13.3044031       388  .034289699   Root MSE        =    .18506

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0330676   .0215259     1.54   0.125     -.009255    .0753903
    jointdem |   -.033203   .0334144    -0.99   0.321    -.0988999     .032494
       _cons |  -.0198973   .0119706    -1.66   0.097     -.043433    .0036384
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.56
       Model |  .110271193         2  .055135596   Prob > F        =    0.2112
    Residual |  13.6326134       386  .035317651   R-squared       =    0.0080
-------------+----------------------------------   Adj R-squared   =    0.0029
       Total |  13.7428846       388  .035419806   Root MSE        =    .18793

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0376618   .0218596     1.72   0.086    -.0053171    .0806406
    jointdem |  -.0379368   .0339325    -1.12   0.264    -.1046524    .0287788
       _cons |  -.0190905   .0121562    -1.57   0.117    -.0429911    .0048101
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.29
       Model |  .089276714         2  .044638357   Prob > F        =    0.2764
    Residual |  13.3539037       386  .034595605   R-squared       =    0.0066
-------------+----------------------------------   Adj R-squared   =    0.0015
       Total |  13.4431804       388  .034647372   Root MSE        =      .186

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .034007    .021635     1.57   0.117    -.0085303    .0765443
    jointdem |  -.0334594   .0335838    -1.00   0.320    -.0994895    .0325707
       _cons |  -.0200556   .0120313    -1.67   0.096    -.0437107    .0035994
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.50
       Model |  .107012885         2  .053506443   Prob > F        =    0.2235
    Residual |  13.7316635       386  .035574258   R-squared       =    0.0077
-------------+----------------------------------   Adj R-squared   =    0.0026
       Total |  13.8386764       388  .035666692   Root MSE        =    .18861

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0374285   .0219389     1.71   0.089    -.0057062    .0805633
    jointdem |  -.0353818   .0340555    -1.04   0.299    -.1023393    .0315758
       _cons |  -.0209147   .0122003    -1.71   0.087     -.044902    .0030726
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.19
       Model |  .079402156         2  .039701078   Prob > F        =    0.3055
    Residual |  12.8853686       386  .033381784   R-squared       =    0.0061
-------------+----------------------------------   Adj R-squared   =    0.0010
       Total |  12.9647707       388  .033414357   Root MSE        =    .18271

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0324594   .0212521     1.53   0.127     -.009325    .0742438
    jointdem |  -.0287447   .0329894    -0.87   0.384    -.0936061    .0361167
       _cons |  -.0180599   .0118183    -1.53   0.127    -.0412962    .0051765
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.33
       Model |  .101605101         2   .05080255   Prob > F        =    0.2648
    Residual |  14.7050852       386  .038096076   R-squared       =    0.0069
-------------+----------------------------------   Adj R-squared   =    0.0017
       Total |  14.8066903       388  .038161573   Root MSE        =    .19518

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0365588   .0227032     1.61   0.108    -.0080787    .0811962
    jointdem |  -.0338407   .0352419    -0.96   0.338    -.1031309    .0354494
       _cons |  -.0201601   .0126253    -1.60   0.111     -.044983    .0046629
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.036   \\
            &     (0.022)   \\
jointdem    &      -0.034   \\
            &     (0.034)   \\
_cons       &      -0.020   \\
            &     (0.012)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Post3  = _b[onedem];

.                         gen se3_lo_demA_Post3 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Post3 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Post3  = _b[jointdem];

.                         gen se3_lo_2dem_Post3 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Post3 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Post2==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.05
       Model |  .003378475         2  .001689237   Prob > F        =    0.9501
    Residual |  13.2844744       403  .032963956   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  13.2878529       405  .032809513   Root MSE        =    .18156

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0037189   .0205058     0.18   0.856    -.0365928    .0440306
    jointdem |   .0053321   .0330629     0.16   0.872    -.0596652    .0703294
       _cons |   .0020302     .01146     0.18   0.859    -.0204986    .0245589
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.12
       Model |  .009206609         2  .004603304   Prob > F        =    0.8840
    Residual |  15.0357377       403  .037309523   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0043
       Total |  15.0449443       405  .037148011   Root MSE        =    .19316

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0088978   .0218156     0.41   0.684    -.0339888    .0517843
    jointdem |   .0029031   .0351748     0.08   0.934    -.0662459     .072052
       _cons |  -.0017042   .0121919    -0.14   0.889    -.0256719    .0222636
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.06
       Model |  .004178046         2  .002089023   Prob > F        =    0.9461
    Residual |  15.1994324       403  .037715713   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  15.2036104       405  .037539779   Root MSE        =    .19421

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0039833    .021934     0.18   0.856    -.0391361    .0471027
    jointdem |   .0061829   .0353657     0.17   0.861    -.0633414    .0757073
       _cons |   .0016956   .0122581     0.14   0.890    -.0224023    .0257935
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.01
       Model |   .00087285         2  .000436425   Prob > F        =    0.9887
    Residual |  15.4985205       403  .038457867   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0049
       Total |  15.4993934       405  .038270107   Root MSE        =    .19611

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |     .00255   .0221488     0.12   0.908    -.0409916    .0460916
    jointdem |    .001385    .035712     0.04   0.969      -.06882    .0715901
       _cons |   .0037909   .0123781     0.31   0.760    -.0205429    .0281247
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.03
       Model |  .002098471         2  .001049236   Prob > F        =    0.9701
    Residual |  13.9448579       403  .034602625   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  13.9469563       405  .034436929   Root MSE        =    .18602

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0022075   .0210093     0.11   0.916     -.039094     .043509
    jointdem |    .005306   .0338747     0.16   0.876    -.0612873    .0718993
       _cons |   .0032591   .0117413     0.28   0.781    -.0198228     .026341
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.01
       Model |  .000830459         2   .00041523   Prob > F        =    0.9897
    Residual |  16.1256783       403   .04001409   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0049
       Total |  16.1265088       405   .03981854   Root MSE        =    .20004

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .000346   .0225925     0.02   0.988    -.0440678    .0447598
    jointdem |   .0044818   .0364274     0.12   0.902    -.0671297    .0760932
       _cons |   .0050418   .0126261     0.40   0.690    -.0197795     .029863
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.03
       Model |  .002271519         2   .00113576   Prob > F        =    0.9690
    Residual |  14.5562503       403  .036119728   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  14.5585218       405  .035946967   Root MSE        =    .19005

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0047329   .0214649     0.22   0.826    -.0374643    .0469301
    jointdem |   .0004849   .0346094     0.01   0.989    -.0675526    .0685224
       _cons |   .0025814    .011996     0.22   0.830    -.0210011    .0261638
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.03
       Model |  .001843805         2  .000921902   Prob > F        =    0.9748
    Residual |  14.5567623       403  .036120998   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  14.5586061       405  .035947176   Root MSE        =    .19006

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .000627   .0214653     0.03   0.977    -.0415709     .042825
    jointdem |   .0065821     .03461     0.19   0.849    -.0614565    .0746208
       _cons |   .0037691   .0119962     0.31   0.754    -.0198138     .027352
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.07
       Model |  .005150813         2  .002575406   Prob > F        =    0.9304
    Residual |  14.3768189       403  .035674489   R-squared       =    0.0004
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  14.3819697       405  .035511036   Root MSE        =    .18888

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0069453   .0213322     0.33   0.745     -.034991    .0488816
    jointdem |   .0013189   .0343954     0.04   0.969     -.066298    .0689357
       _cons |   -.001582   .0119218    -0.13   0.894    -.0250187    .0218547
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       406
-------------+----------------------------------   F(2, 403)       =      0.02
       Model |  .001530833         2  .000765417   Prob > F        =    0.9817
    Residual |  16.6905633       403   .04141579   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0049
       Total |  16.6920941       405  .041215047   Root MSE        =    .20351

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0024702   .0229848     0.11   0.914    -.0427148    .0476552
    jointdem |   .0036449   .0370599     0.10   0.922      -.06921    .0764998
       _cons |   .0020848   .0128454     0.16   0.871    -.0231674    .0273371
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.004   \\
            &     (0.022)   \\
jointdem    &       0.004   \\
            &     (0.035)   \\
_cons       &       0.002   \\
            &     (0.012)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Post2  = _b[onedem];

.                         gen se3_lo_demA_Post2 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Post2 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Post2  = _b[jointdem];

.                         gen se3_lo_2dem_Post2 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Post2 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Post1==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.48
       Model |  .033959634         2  .016979817   Prob > F        =    0.6169
    Residual |  14.8882576       424  .035113815   R-squared       =    0.0023
-------------+----------------------------------   Adj R-squared   =   -0.0024
       Total |  14.9222172       426  .035028679   Root MSE        =    .18739

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0199174    .020706     0.96   0.337    -.0207818    .0606167
    jointdem |  -.0205367   .0353432    -0.58   0.562    -.0900063     .048933
       _cons |  -.0039421   .0113412    -0.35   0.728    -.0262341    .0183498
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.72
       Model |  .052426468         2  .026213234   Prob > F        =    0.4874
    Residual |  15.4372688       424  .036408653   R-squared       =    0.0034
-------------+----------------------------------   Adj R-squared   =   -0.0013
       Total |  15.4896953       426  .036360787   Root MSE        =    .19081

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0228109   .0210844     1.08   0.280     -.018632    .0642538
    jointdem |  -.0330062   .0359889    -0.92   0.360    -.1037451    .0377327
       _cons |   -.002343   .0115484    -0.20   0.839    -.0250422    .0203562
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.83
       Model |  .063439621         2  .031719811   Prob > F        =    0.4384
    Residual |  16.2783678       424  .038392377   R-squared       =    0.0039
-------------+----------------------------------   Adj R-squared   =   -0.0008
       Total |  16.3418074       426   .03836105   Root MSE        =    .19594

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0276034   .0216511     1.27   0.203    -.0149535    .0701603
    jointdem |  -.0248596   .0369563    -0.67   0.502    -.0975001    .0477808
       _cons |  -.0065252   .0118588    -0.55   0.582    -.0298346    .0167842
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.61
       Model |  .047889068         2  .023944534   Prob > F        =    0.5428
    Residual |  16.5895382       424  .039126269   R-squared       =    0.0029
-------------+----------------------------------   Adj R-squared   =   -0.0018
       Total |  16.6374273       426  .039054994   Root MSE        =     .1978

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0233227   .0218571     1.07   0.287     -.019639    .0662844
    jointdem |  -.0262669   .0373079    -0.70   0.482    -.0995984    .0470645
       _cons |  -.0042828   .0119716    -0.36   0.721    -.0278139    .0192484
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.75
       Model |  .051194111         2  .025597056   Prob > F        =    0.4707
    Residual |  14.3789441       424  .033912604   R-squared       =    0.0035
-------------+----------------------------------   Adj R-squared   =   -0.0012
       Total |  14.4301382       426  .033873564   Root MSE        =    .18415

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0249877   .0203488     1.23   0.220    -.0150094    .0649848
    jointdem |  -.0187901   .0347334    -0.54   0.589    -.0870611     .049481
       _cons |  -.0087571   .0111455    -0.79   0.432    -.0306644    .0131502
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.41
       Model |  .034644405         2  .017322202   Prob > F        =    0.6616
    Residual |  17.7594849       424  .041885578   R-squared       =    0.0019
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |  17.7941294       426  .041770257   Root MSE        =    .20466

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0202218   .0226147     0.89   0.372    -.0242291    .0646726
    jointdem |  -.0199986    .038601    -0.52   0.605    -.0958718    .0558745
       _cons |  -.0069115   .0123866    -0.56   0.577    -.0312582    .0174352
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.34
       Model |  .026642116         2  .013321058   Prob > F        =    0.7105
    Residual |  16.5091856       424  .038936759   R-squared       =    0.0016
-------------+----------------------------------   Adj R-squared   =   -0.0031
       Total |  16.5358277       426  .038816497   Root MSE        =    .19732

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .016975   .0218041     0.78   0.437    -.0258825    .0598326
    jointdem |   -.021371   .0372174    -0.57   0.566    -.0945246    .0517827
       _cons |  -.0024581   .0119426    -0.21   0.837    -.0259321     .021016
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.70
       Model |  .051788184         2  .025894092   Prob > F        =    0.4952
    Residual |  15.5982729       424   .03678838   R-squared       =    0.0033
-------------+----------------------------------   Adj R-squared   =   -0.0014
       Total |  15.6500611       426  .036737233   Root MSE        =     .1918

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0251326    .021194     1.19   0.236    -.0165258     .066791
    jointdem |  -.0188826   .0361761    -0.52   0.602    -.0899894    .0522243
       _cons |  -.0077514   .0116084    -0.67   0.505    -.0305686    .0150659
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.78
       Model |   .05360448         2   .02680224   Prob > F        =    0.4606
    Residual |  14.6339578       424  .034514051   R-squared       =    0.0036
-------------+----------------------------------   Adj R-squared   =   -0.0011
       Total |  14.6875623       426  .034477846   Root MSE        =    .18578

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0208583   .0205284     1.02   0.310    -.0194919    .0612085
    jointdem |   -.037662     .03504    -1.07   0.283    -.1065358    .0312118
       _cons |   .0013382   .0112439     0.12   0.905    -.0207625    .0234389
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       427
-------------+----------------------------------   F(2, 424)       =      0.69
       Model |  .056706058         2  .028353029   Prob > F        =    0.5004
    Residual |  17.3373179       424  .040889901   R-squared       =    0.0033
-------------+----------------------------------   Adj R-squared   =   -0.0014
       Total |   17.394024       426  .040831042   Root MSE        =    .20221

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0244503   .0223443     1.09   0.274    -.0194691    .0683696
    jointdem |   -.032254   .0381395    -0.85   0.398    -.1072199     .042712
       _cons |  -.0039611   .0122385    -0.32   0.746    -.0280167    .0200945
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.024   \\
            &     (0.021)   \\
jointdem    &      -0.025   \\
            &     (0.037)   \\
_cons       &      -0.005   \\
            &     (0.012)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Post1  = _b[onedem];

.                         gen se3_lo_demA_Post1 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Post1 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Post1  = _b[jointdem];

.                         gen se3_lo_2dem_Post1 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Post1 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Intervention==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.43
       Model |  .033832211         2  .016916106   Prob > F        =    0.6483
    Residual |  16.6125515       426    .0389966   R-squared       =    0.0020
-------------+----------------------------------   Adj R-squared   =   -0.0027
       Total |  16.6463837       428   .03889342   Root MSE        =    .19748

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0187152   .0212004    -0.88   0.378    -.0603856    .0229552
    jointdem |    .002239   .0376363     0.06   0.953    -.0717368    .0762149
       _cons |   .0243727   .0121308     2.01   0.045      .000529    .0482165
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.32
       Model |  .027149222         2  .013574611   Prob > F        =    0.7273
    Residual |  18.1485721       426  .042602282   R-squared       =    0.0015
-------------+----------------------------------   Adj R-squared   =   -0.0032
       Total |  18.1757214       428  .042466639   Root MSE        =     .2064

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0173885   .0221588    -0.78   0.433    -.0609427    .0261658
    jointdem |   .0063591   .0393377     0.16   0.872    -.0709612    .0836793
       _cons |   .0199111   .0126792     1.57   0.117    -.0050105    .0448328
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.61
       Model |  .053051832         2  .026525916   Prob > F        =    0.5425
    Residual |  18.4514946       426  .043313368   R-squared       =    0.0029
-------------+----------------------------------   Adj R-squared   =   -0.0018
       Total |  18.5045464       428  .043234922   Root MSE        =    .20812

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0226146    .022343    -1.01   0.312    -.0665308    .0213017
    jointdem |  -.0012215   .0396647    -0.03   0.975    -.0791843    .0767414
       _cons |   .0269535   .0127846     2.11   0.036     .0018247    .0520823
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.40
       Model |  .035003333         2  .017501667   Prob > F        =    0.6726
    Residual |  18.7808271       426  .044086449   R-squared       =    0.0019
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |  18.8158305       428  .043962221   Root MSE        =    .20997

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0189964   .0225415    -0.84   0.400    -.0633028      .02531
    jointdem |   .0020575   .0400171     0.05   0.959     -.076598    .0807131
       _cons |   .0230498   .0128982     1.79   0.075    -.0023023    .0484018
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.83
       Model |  .064834928         2  .032417464   Prob > F        =    0.4362
    Residual |  16.6151525       426  .039002705   R-squared       =    0.0039
-------------+----------------------------------   Adj R-squared   =   -0.0008
       Total |  16.6799874       428  .038971933   Root MSE        =    .19749

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0255614    .021202    -1.21   0.229     -.067235    .0161123
    jointdem |   .0012743   .0376392     0.03   0.973    -.0727074     .075256
       _cons |   .0286445   .0121318     2.36   0.019     .0047989    .0524901
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.43
       Model |  .040688559         2  .020344279   Prob > F        =    0.6531
    Residual |  20.3191599       426  .047697559   R-squared       =    0.0020
-------------+----------------------------------   Adj R-squared   =   -0.0027
       Total |  20.3598485       428  .047569739   Root MSE        =     .2184

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0214722   .0234465    -0.92   0.360    -.0675575    .0246131
    jointdem |   .0098237   .0416237     0.24   0.814    -.0719898    .0916372
       _cons |   .0253608   .0134161     1.89   0.059    -.0010091    .0517307
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.28
       Model |  .025535388         2  .012767694   Prob > F        =    0.7556
    Residual |  19.3913075       426  .045519501   R-squared       =    0.0013
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |  19.4168429       428  .045366455   Root MSE        =    .21335

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0165048   .0229049    -0.72   0.472    -.0615256    .0285159
    jointdem |   .0034125   .0406623     0.08   0.933    -.0765111    .0833362
       _cons |   .0233583   .0131062     1.78   0.075    -.0024025    .0491191
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.69
       Model |  .056221606         2  .028110803   Prob > F        =    0.5035
    Residual |  17.4221785       426  .040897133   R-squared       =    0.0032
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  17.4784001       428  .040837383   Root MSE        =    .20223

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0236573   .0217108    -1.09   0.276     -.066331    .0190164
    jointdem |   .0004721   .0385425     0.01   0.990     -.075285    .0762292
       _cons |   .0275815   .0124229     2.22   0.027     .0031636    .0519993
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.23
       Model |  .018273204         2  .009136602   Prob > F        =    0.7963
    Residual |  17.0815478       426   .04009753   R-squared       =    0.0011
-------------+----------------------------------   Adj R-squared   =   -0.0036
       Total |   17.099821       428  .039952853   Root MSE        =    .20024

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0144248   .0214976    -0.67   0.503    -.0566792    .0278297
    jointdem |   .0070864   .0381638     0.19   0.853    -.0679265    .0820992
       _cons |   .0156775   .0123009     1.27   0.203    -.0085004    .0398555
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       429
-------------+----------------------------------   F(2, 426)       =      0.42
       Model |  .039658869         2  .019829435   Prob > F        =    0.6582
    Residual |  20.1792242       426  .047369071   R-squared       =    0.0020
-------------+----------------------------------   Adj R-squared   =   -0.0027
       Total |  20.2188831       428  .047240381   Root MSE        =    .21764

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0212031   .0233656    -0.91   0.365    -.0671294    .0247232
    jointdem |   .0097564   .0414802     0.24   0.814    -.0717748    .0912877
       _cons |   .0222763   .0133698     1.67   0.096    -.0040027    .0485552
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.021   \\
            &     (0.022)   \\
jointdem    &       0.002   \\
            &     (0.039)   \\
_cons       &       0.025*  \\
            &     (0.013)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Post0  = _b[onedem];

.                         gen se3_lo_demA_Post0 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Post0 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Post0  = _b[jointdem];

.                         gen se3_lo_2dem_Post0 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Post0 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Pre1==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.33
       Model |  .031084119         2   .01554206   Prob > F        =    0.7182
    Residual |  18.5335526       395  .046920386   R-squared       =    0.0017
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |  18.5646367       397  .046762309   Root MSE        =    .21661

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0364242   .0509506    -0.71   0.475    -.1365925     .063744
    jointdem |    .064754   .0912937     0.71   0.479    -.1147283    .2442363
       _cons |   .0043864   .0112459     0.39   0.697    -.0177229    .0264957
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.60
       Model |  .064752208         2  .032376104   Prob > F        =    0.5500
    Residual |  21.3615419       395  .054079853   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0020
       Total |  21.4262941       397  .053970514   Root MSE        =    .23255

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0594102   .0546999    -1.09   0.278    -.1669495    .0481291
    jointdem |   .0675673   .0980117     0.69   0.491    -.1251225     .260257
       _cons |   .0121519   .0120734     1.01   0.315    -.0115843    .0358881
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.27
       Model |  .027266863         2  .013633432   Prob > F        =    0.7651
    Residual |  20.0975649       395  .050879911   R-squared       =    0.0014
-------------+----------------------------------   Adj R-squared   =   -0.0037
       Total |  20.1248318       397  .050692271   Root MSE        =    .22557

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0340491   .0530569    -0.64   0.521    -.1383583      .07026
    jointdem |   .0607672   .0950678     0.64   0.523    -.1261349    .2476692
       _cons |   .0032277   .0117108     0.28   0.783    -.0197955     .026251
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.49
       Model |  .051509001         2    .0257545   Prob > F        =    0.6157
    Residual |  20.9510116       395  .053040536   R-squared       =    0.0025
-------------+----------------------------------   Adj R-squared   =   -0.0026
       Total |  21.0025206       397  .052903074   Root MSE        =    .23031

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0515669   .0541717    -0.95   0.342    -.1580678     .054934
    jointdem |   .0700229   .0970653     0.72   0.471    -.1208064    .2608521
       _cons |   .0049605   .0119569     0.41   0.678    -.0185465    .0284676
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.53
       Model |  .051440618         2  .025720309   Prob > F        =    0.5917
    Residual |  19.3371111       395  .048954712   R-squared       =    0.0027
-------------+----------------------------------   Adj R-squared   =   -0.0024
       Total |  19.3885517       397  .048837662   Root MSE        =    .22126

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0490993   .0520434    -0.94   0.346     -.151416    .0532174
    jointdem |   .0783882   .0932518     0.84   0.401    -.1049438    .2617201
       _cons |   .0054501   .0114871     0.47   0.635    -.0171334    .0280336
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.64
       Model |   .07835492         2   .03917746   Prob > F        =    0.5297
    Residual |  24.3127502       395  .061551266   R-squared       =    0.0032
-------------+----------------------------------   Adj R-squared   =   -0.0018
       Total |  24.3911051       397  .061438552   Root MSE        =     .2481

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0637031   .0583562    -1.09   0.276    -.1784307    .0510245
    jointdem |   .0858741   .1045631     0.82   0.412    -.1196957     .291444
       _cons |   .0111906   .0128805     0.87   0.385    -.0141322    .0365134
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.68
       Model |  .075497619         2   .03774881   Prob > F        =    0.5087
    Residual |  22.0242763       395  .055757661   R-squared       =    0.0034
-------------+----------------------------------   Adj R-squared   =   -0.0016
       Total |  22.0997739       397  .055666937   Root MSE        =    .23613

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0617478   .0555419    -1.11   0.267    -.1709426    .0474469
    jointdem |   .0877199   .0995205     0.88   0.379    -.1079361    .2833759
       _cons |   .0045969   .0122593     0.37   0.708    -.0195047    .0286985
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.38
       Model |  .037554687         2  .018777344   Prob > F        =    0.6843
    Residual |  19.5333748       395  .049451582   R-squared       =    0.0019
-------------+----------------------------------   Adj R-squared   =   -0.0031
       Total |  19.5709295       397  .049297052   Root MSE        =    .22238

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0405159   .0523069    -0.77   0.439    -.1433506    .0623187
    jointdem |   .0702569   .0937239     0.75   0.454     -.114003    .2545169
       _cons |   .0043237   .0115452     0.37   0.708    -.0183742    .0270215
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.73
       Model |  .070016866         2  .035008433   Prob > F        =    0.4831
    Residual |  18.9739555       395   .04803533   R-squared       =    0.0037
-------------+----------------------------------   Adj R-squared   =   -0.0014
       Total |  19.0439724       397  .047969704   Root MSE        =    .21917

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.062129   .0515524    -1.21   0.229    -.1634804    .0392224
    jointdem |   .0647452    .092372     0.70   0.484    -.1168571    .2463475
       _cons |   .0079439   .0113787     0.70   0.486    -.0144266    .0303143
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.71
       Model |   .08394088         2   .04197044   Prob > F        =    0.4936
    Residual |  23.4391969       395  .059339739   R-squared       =    0.0036
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  23.5231378       397  .059252236   Root MSE        =     .2436

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0672978   .0572983    -1.17   0.241    -.1799455    .0453499
    jointdem |    .080317   .1026675     0.78   0.435     -.121526    .2821601
       _cons |    .009528    .012647     0.75   0.452    -.0153357    .0343918
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.046   \\
            &     (0.054)   \\
jointdem    &       0.068   \\
            &     (0.095)   \\
_cons       &       0.006   \\
            &     (0.012)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Pre1  = _b[onedem];

.                         gen se3_lo_demA_Pre1 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Pre1 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Pre1  = _b[jointdem];

.                         gen se3_lo_2dem_Pre1 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Pre1 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Pre2==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.30
       Model |  .034120701         2   .01706035   Prob > F        =    0.7397
    Residual |   21.710664       384  .056538188   R-squared       =    0.0016
-------------+----------------------------------   Adj R-squared   =   -0.0036
       Total |  21.7447847       386  .056333639   Root MSE        =    .23778

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0470466   .0607368     0.77   0.439    -.0723717     .166465
    jointdem |  -.0504281   .1077521    -0.47   0.640    -.2622861    .1614299
       _cons |  -.0241225   .0124629    -1.94   0.054    -.0486267    .0003816
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.42
       Model |  .051544358         2  .025772179   Prob > F        =    0.6556
    Residual |  23.4106909       384  .060965341   R-squared       =    0.0022
-------------+----------------------------------   Adj R-squared   =   -0.0030
       Total |  23.4622353       386  .060782993   Root MSE        =    .24691

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0575053     .06307     0.91   0.362    -.0665004     .181511
    jointdem |  -.0438831   .1118913    -0.39   0.695    -.2638794    .1761133
       _cons |  -.0307786   .0129417    -2.38   0.018     -.056224   -.0053331
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.41
       Model |  .047769865         2  .023884933   Prob > F        =    0.6644
    Residual |  22.4089115       384   .05835654   R-squared       =    0.0021
-------------+----------------------------------   Adj R-squared   =   -0.0031
       Total |  22.4566813       386  .058177931   Root MSE        =    .24157

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0558114   .0617058     0.90   0.366    -.0655121    .1771349
    jointdem |  -.0555411   .1094711    -0.51   0.612     -.270779    .1596968
       _cons |  -.0234639   .0126618    -1.85   0.065     -.048359    .0014311
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.39
       Model |  .047701932         2  .023850966   Prob > F        =    0.6785
    Residual |  23.5917909       384  .061436956   R-squared       =    0.0020
-------------+----------------------------------   Adj R-squared   =   -0.0032
       Total |  23.6394929       386  .061242209   Root MSE        =    .24786

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0555667   .0633134     0.88   0.381    -.0689178    .1800511
    jointdem |  -.0457959   .1123233    -0.41   0.684    -.2666415    .1750498
       _cons |  -.0265241   .0129916    -2.04   0.042    -.0520677   -.0009804
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.41
       Model |   .04336747         2  .021683735   Prob > F        =    0.6632
    Residual |   20.255943       384  .052749851   R-squared       =    0.0021
-------------+----------------------------------   Adj R-squared   =   -0.0031
       Total |  20.2993104       386  .052588887   Root MSE        =    .22967

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0524754   .0586667     0.89   0.372    -.0628728    .1678236
    jointdem |  -.0632785   .1040796    -0.61   0.544    -.2679157    .1413587
       _cons |  -.0253933   .0120382    -2.11   0.036    -.0490623   -.0017244
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.25
       Model |  .035387263         2  .017693632   Prob > F        =    0.7820
    Residual |  27.6193965       384  .071925512   R-squared       =    0.0013
-------------+----------------------------------   Adj R-squared   =   -0.0039
       Total |  27.6547838       386  .071644518   Root MSE        =    .26819

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0475121   .0685051     0.69   0.488    -.0871799     .182204
    jointdem |  -.0562302   .1215336    -0.46   0.644    -.2951849    .1827244
       _cons |  -.0327396   .0140569    -2.33   0.020    -.0603778   -.0051014
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.30
       Model |  .039097515         2  .019548757   Prob > F        =    0.7422
    Residual |  25.1610223       384  .065523496   R-squared       =    0.0016
-------------+----------------------------------   Adj R-squared   =   -0.0036
       Total |  25.2001198       386  .065285285   Root MSE        =    .25598

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0504984   .0653852     0.77   0.440    -.0780595    .1790563
    jointdem |  -.0498023   .1159988    -0.43   0.668    -.2778746      .17827
       _cons |  -.0281041   .0134168    -2.09   0.037    -.0544837   -.0017246
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.35
       Model |  .039970286         2  .019985143   Prob > F        =    0.7065
    Residual |  22.0721526       384  .057479564   R-squared       =    0.0018
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |  22.1121229       386  .057285292   Root MSE        =    .23975

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0505637   .0612404     0.83   0.410    -.0698448    .1709721
    jointdem |  -.0591264   .1086455    -0.54   0.587    -.2727409    .1544881
       _cons |  -.0249165   .0125663    -1.98   0.048    -.0496238   -.0002092
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.57
       Model |  .060854616         2  .030427308   Prob > F        =    0.5673
    Residual |  20.5790229       384  .053591206   R-squared       =    0.0029
-------------+----------------------------------   Adj R-squared   =   -0.0022
       Total |  20.6398775       386  .053471185   Root MSE        =     .2315

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0600331   .0591327     1.02   0.311    -.0562313    .1762976
    jointdem |  -.0289135   .1049063    -0.28   0.783    -.2351762    .1773492
       _cons |  -.0278731   .0121338    -2.30   0.022      -.05173   -.0040161
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       387
-------------+----------------------------------   F(2, 384)       =      0.43
       Model |  .056139864         2  .028069932   Prob > F        =    0.6537
    Residual |  25.3303629       384  .065964487   R-squared       =    0.0022
-------------+----------------------------------   Adj R-squared   =   -0.0030
       Total |  25.3865027       386  .065768142   Root MSE        =    .25684

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0599549   .0656049     0.91   0.361    -.0690348    .1889447
    jointdem |  -.0450826   .1163885    -0.39   0.699    -.2739211    .1837559
       _cons |  -.0312406   .0134618    -2.32   0.021    -.0577087   -.0047724
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.054   \\
            &     (0.062)   \\
jointdem    &      -0.052   \\
            &     (0.109)   \\
_cons       &      -0.026** \\
            &     (0.013)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Pre2  = _b[onedem];

.                         gen se3_lo_demA_Pre2 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Pre2 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Pre2  = _b[jointdem];

.                         gen se3_lo_2dem_Pre2 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Pre2 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Pre3==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.18
       Model |  .014700349         2  .007350175   Prob > F        =    0.8373
    Residual |  15.3955977       372  .041386015   R-squared       =    0.0010
-------------+----------------------------------   Adj R-squared   =   -0.0044
       Total |   15.410298       374  .041204005   Root MSE        =    .20344

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .012608   .0467748     0.27   0.788    -.0793682    .1045843
    jointdem |  -.0564285   .0946941    -0.60   0.552    -.2426313    .1297743
       _cons |   .0068743   .0108897     0.63   0.528    -.0145387    .0282873
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.16
       Model |  .012789542         2  .006394771   Prob > F        =    0.8564
    Residual |  15.3448552       372  .041249611   R-squared       =    0.0008
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  15.3576447       374  .041063221   Root MSE        =     .2031

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0030296   .0466977     0.06   0.948    -.0887949    .0948542
    jointdem |  -.0490914   .0945379    -0.52   0.604    -.2349871    .1368043
       _cons |   .0093301   .0108717     0.86   0.391    -.0120476    .0307078
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.16
       Model |  .013975542         2  .006987771   Prob > F        =    0.8550
    Residual |  16.5920191       372  .044602202   R-squared       =    0.0008
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  16.6059947       374  .044401055   Root MSE        =    .21119

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0092426   .0485583     0.19   0.849    -.0862406    .1047259
    jointdem |  -.0544957   .0983047    -0.55   0.580    -.2477983    .1388068
       _cons |   .0061237   .0113049     0.54   0.588    -.0161057    .0283532
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.21
       Model |  .019124467         2  .009562233   Prob > F        =    0.8093
    Residual |   16.799333       372  .045159497   R-squared       =    0.0011
-------------+----------------------------------   Adj R-squared   =   -0.0042
       Total |  16.8184575       374  .044969138   Root MSE        =    .21251

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0028318   .0488607     0.06   0.954    -.0932461    .0989096
    jointdem |  -.0593664   .0989169    -0.60   0.549    -.2538729      .13514
       _cons |    .008262   .0113753     0.73   0.468    -.0141059    .0306298
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.12
       Model |  .009632144         2  .004816072   Prob > F        =    0.8866
    Residual |  14.8771568       372  .039992357   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  14.8867889       374  .039804248   Root MSE        =    .19998

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0113807   .0459805     0.25   0.805    -.0790336     .101795
    jointdem |   -.045642    .093086    -0.49   0.624    -.2286828    .1373988
       _cons |   .0073927   .0107047     0.69   0.490    -.0136567     .028442
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.08
       Model |  .007626317         2  .003813159   Prob > F        =    0.9275
    Residual |  18.8525078       372  .050678784   R-squared       =    0.0004
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  18.8601341       374  .050428166   Root MSE        =    .22512

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0130977   .0517605     0.25   0.800    -.0886822    .1148775
    jointdem |  -.0396291   .1047874    -0.38   0.706    -.2456791    .1664208
       _cons |   .0099273   .0120504     0.82   0.411     -.013768    .0336227
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.27
       Model |  .024888613         2  .012444306   Prob > F        =    0.7641
    Residual |  17.1907612       372  .046211724   R-squared       =    0.0014
-------------+----------------------------------   Adj R-squared   =   -0.0039
       Total |  17.2156498       374  .046031149   Root MSE        =    .21497

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0012819   .0494267     0.03   0.979    -.0959088    .0984726
    jointdem |  -.0660991   .1000627    -0.66   0.509    -.2628585    .1306603
       _cons |   .0091211    .011507     0.79   0.428    -.0135059    .0317481
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.12
       Model |  .010727523         2  .005363761   Prob > F        =    0.8850
    Residual |  16.3262562       372  .043887786   R-squared       =    0.0007
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  16.3369837       374  .043681775   Root MSE        =    .20949

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .012134   .0481679     0.25   0.801    -.0825814    .1068494
    jointdem |  -.0481542   .0975142    -0.49   0.622    -.2399024     .143594
       _cons |   .0072468    .011214     0.65   0.519    -.0148039    .0292975
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.48
       Model |  .035983499         2  .017991749   Prob > F        =    0.6213
    Residual |  14.0443854       372  .037753724   R-squared       =    0.0026
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |  14.0803689       374  .037648045   Root MSE        =     .1943

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0085898   .0446751    -0.19   0.848    -.0964372    .0792576
    jointdem |  -.0684157   .0904432    -0.76   0.450    -.2462598    .1094283
       _cons |   .0101539   .0104008     0.98   0.330    -.0102978    .0306057
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       375
-------------+----------------------------------   F(2, 372)       =      0.23
       Model |  .021701309         2  .010850655   Prob > F        =    0.7948
    Residual |  17.5674433       372   .04722431   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  17.5891446       374  .047029798   Root MSE        =    .21731

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0019875   .0499653     0.04   0.968    -.0962623    .1002373
    jointdem |  -.0624028    .101153    -0.62   0.538    -.2613062    .1365006
       _cons |   .0103994   .0116324     0.89   0.372    -.0124741     .033273
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.008   \\
            &     (0.048)   \\
jointdem    &      -0.053   \\
            &     (0.096)   \\
_cons       &       0.008   \\
            &     (0.011)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Pre3  = _b[onedem];

.                         gen se3_lo_demA_Pre3 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Pre3 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Pre3  = _b[jointdem];

.                         gen se3_lo_2dem_Pre3 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Pre3 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Pre4==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.18
       Model |  .011290131         2  .005645065   Prob > F        =    0.8374
    Residual |  11.6377627       366  .031797166   R-squared       =    0.0010
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  11.6490528       368  .031655035   Root MSE        =    .17832

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0243679   .0410158     0.59   0.553    -.0562882     .105024
    jointdem |   -.026709   .0891588    -0.30   0.765    -.2020368    .1486188
       _cons |   .0018229   .0096142     0.19   0.850    -.0170832    .0207289
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.45
       Model |  .031336575         2  .015668288   Prob > F        =    0.6387
    Residual |  12.7752771       366  .034905129   R-squared       =    0.0024
-------------+----------------------------------   Adj R-squared   =   -0.0030
       Total |  12.8066137       368  .034800581   Root MSE        =    .18683

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0382879   .0429735     0.89   0.374    -.0462181     .122794
    jointdem |  -.0633063   .0934146    -0.68   0.498    -.2470029    .1203904
       _cons |   .0032477   .0100732     0.32   0.747    -.0165608    .0230562
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.24
       Model |  .017995331         2  .008997665   Prob > F        =    0.7836
    Residual |  13.4929518       366  .036865989   R-squared       =    0.0013
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  13.5109472       368   .03671453   Root MSE        =    .19201

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0299096   .0441641     0.68   0.499    -.0569376    .1167569
    jointdem |  -.0431093   .0960026    -0.45   0.654    -.2318952    .1456766
       _cons |   .0051009   .0103522     0.49   0.622    -.0152564    .0254582
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.45
       Model |  .032410469         2  .016205235   Prob > F        =    0.6412
    Residual |  13.3280627       366  .036415472   R-squared       =    0.0024
-------------+----------------------------------   Adj R-squared   =   -0.0030
       Total |  13.3604732       368  .036305634   Root MSE        =    .19083

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0412506   .0438934     0.94   0.348    -.0450644    .1275655
    jointdem |  -.0460775   .0954142    -0.48   0.629    -.2337063    .1415513
       _cons |   .0025989   .0102888     0.25   0.801    -.0176336    .0228315
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.30
       Model |  .020341708         2  .010170854   Prob > F        =    0.7440
    Residual |  12.5801628       366  .034372029   R-squared       =    0.0016
-------------+----------------------------------   Adj R-squared   =   -0.0038
       Total |  12.6005045       368  .034240501   Root MSE        =     .1854

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0315519   .0426441     0.74   0.460    -.0523063    .1154101
    jointdem |  -.0474036   .0926985    -0.51   0.609    -.2296921    .1348849
       _cons |  -.0002256   .0099959    -0.02   0.982    -.0198823     .019431
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.24
       Model |  .018035952         2  .009017976   Prob > F        =    0.7890
    Residual |  13.9212539       366  .038036213   R-squared       =    0.0013
-------------+----------------------------------   Adj R-squared   =   -0.0042
       Total |  13.9392898       368  .037878505   Root MSE        =    .19503

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0298324   .0448596     0.67   0.506    -.0583824    .1180473
    jointdem |  -.0438849   .0975144    -0.45   0.653    -.2356437    .1478739
       _cons |  -.0034428   .0105152    -0.33   0.744    -.0241207    .0172351
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.54
       Model |  .039800089         2  .019900044   Prob > F        =    0.5817
    Residual |  13.4234082       366  .036675979   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0025
       Total |  13.4632082       368  .036584805   Root MSE        =    .19151

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0454763   .0440501     1.03   0.303    -.0411469    .1320994
    jointdem |  -.0309719   .0957549    -0.32   0.747    -.2192707    .1573268
       _cons |  -.0018396   .0103255    -0.18   0.859    -.0221443    .0184652
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.22
       Model |  .015395659         2   .00769783   Prob > F        =    0.8019
    Residual |  12.7574419       366  .034856399   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0043
       Total |  12.7728375       368  .034708798   Root MSE        =     .1867

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0278996   .0429435     0.65   0.516    -.0565474    .1123466
    jointdem |  -.0381367   .0933493    -0.41   0.683     -.221705    .1454317
       _cons |   .0013847   .0100661     0.14   0.891      -.01841    .0211794
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.75
       Model |  .049569467         2  .024784733   Prob > F        =    0.4713
    Residual |  12.0339617       366  .032879677   R-squared       =    0.0041
-------------+----------------------------------   Adj R-squared   =   -0.0013
       Total |  12.0835312       368  .032835683   Root MSE        =    .18133

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0511514   .0417081     1.23   0.221    -.0308661     .133169
    jointdem |  -.0531757   .0906638    -0.59   0.558     -.231463    .1251116
       _cons |   .0029639   .0097765     0.30   0.762    -.0162613    .0221891
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       369
-------------+----------------------------------   F(2, 366)       =      0.48
       Model |  .037515915         2  .018757958   Prob > F        =    0.6204
    Residual |  14.3619811       366  .039240385   R-squared       =    0.0026
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |   14.399497       368  .039129068   Root MSE        =    .19809

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0441399   .0455641     0.97   0.333    -.0454605    .1337402
    jointdem |  -.0535451   .0990459    -0.54   0.589    -.2483157    .1412254
       _cons |  -.0006167   .0106804    -0.06   0.954    -.0216193     .020386
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.033   \\
            &     (0.044)   \\
jointdem    &      -0.045   \\
            &     (0.094)   \\
_cons       &       0.003   \\
            &     (0.010)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Pre4  = _b[onedem];

.                         gen se3_lo_demA_Pre4 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Pre4 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Pre4  = _b[jointdem];

.                         gen se3_lo_2dem_Pre4 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Pre4 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y3_d`i' onedem jointdem if Pre5==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.52
       Model |  .036754079         2   .01837704   Prob > F        =    0.5921
    Residual |  12.0793933       345  .035012734   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0027
       Total |  12.1161474       347  .034916851   Root MSE        =    .18712

------------------------------------------------------------------------------
ChgThre~3_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0429355   .0421387    -1.02   0.309    -.1258166    .0399457
    jointdem |   .0301963   .1020806     0.30   0.768    -.1705824    .2309751
       _cons |   .0068182   .0104115     0.65   0.513    -.0136598    .0272961
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.85
       Model |  .067692052         2  .033846026   Prob > F        =    0.4302
    Residual |  13.8112182       345  .040032516   R-squared       =    0.0049
-------------+----------------------------------   Adj R-squared   =   -0.0009
       Total |  13.8789102       347  .039996859   Root MSE        =    .20008

------------------------------------------------------------------------------
ChgThre~3_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0585722   .0450583    -1.30   0.194    -.1471958    .0300513
    jointdem |   .0516115   .1091533     0.47   0.637    -.1630782    .2663011
       _cons |   .0060118   .0111328     0.54   0.590     -.015885    .0279085
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.51
       Model |  .041346784         2  .020673392   Prob > F        =    0.5984
    Residual |   13.867952       345  .040196962   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |  13.9092988       347  .040084435   Root MSE        =    .20049

------------------------------------------------------------------------------
ChgThre~3_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0457187   .0451507    -1.01   0.312    -.1345241    .0430867
    jointdem |   .0371454   .1093772     0.34   0.734    -.1779848    .2522755
       _cons |   .0048336   .0111557     0.43   0.665    -.0171081    .0267752
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.74
       Model |  .062937334         2  .031468667   Prob > F        =    0.4772
    Residual |  14.6415608       345  .042439307   R-squared       =    0.0043
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  14.7044981       347  .042376075   Root MSE        =    .20601

------------------------------------------------------------------------------
ChgThre~3_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0563881    .046393    -1.22   0.225    -.1476368    .0348606
    jointdem |   .0451292   .1123866     0.40   0.688      -.17592    .2661783
       _cons |   .0085905   .0114626     0.75   0.454    -.0139549    .0311358
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.73
       Model |  .057002663         2  .028501331   Prob > F        =    0.4817
    Residual |  13.4330746       345  .038936448   R-squared       =    0.0042
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  13.4900773       347  .038876303   Root MSE        =    .19732

------------------------------------------------------------------------------
ChgThre~3_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0535461   .0444372    -1.20   0.229     -.140948    .0338558
    jointdem |   .0394039   .1076486     0.37   0.715    -.1723263    .2511341
       _cons |   .0098397   .0109794     0.90   0.371    -.0117552    .0314346
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.57
       Model |  .051936525         2  .025968262   Prob > F        =    0.5644
    Residual |  15.6372038       345  .045325228   R-squared       =    0.0033
-------------+----------------------------------   Adj R-squared   =   -0.0025
       Total |  15.6891403       347  .045213661   Root MSE        =     .2129

------------------------------------------------------------------------------
ChgThre~3_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0508979   .0479444    -1.06   0.289    -.1451981    .0434023
    jointdem |   .0330855    .116145     0.28   0.776    -.1953558    .2615269
       _cons |   .0123736   .0118459     1.04   0.297    -.0109257    .0356729
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      1.01
       Model |  .085890196         2  .042945098   Prob > F        =    0.3647
    Residual |  14.6444909       345    .0424478   R-squared       =    0.0058
-------------+----------------------------------   Adj R-squared   =    0.0001
       Total |  14.7303811       347  .042450666   Root MSE        =    .20603

------------------------------------------------------------------------------
ChgThre~3_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0657588   .0463976    -1.42   0.157    -.1570167     .025499
    jointdem |   .0491713   .1123978     0.44   0.662    -.1718999    .2702426
       _cons |   .0121238   .0114637     1.06   0.291    -.0104238    .0346714
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.49
       Model |  .038616186         2  .019308093   Prob > F        =    0.6102
    Residual |  13.4674962       345  .039036221   R-squared       =    0.0029
-------------+----------------------------------   Adj R-squared   =   -0.0029
       Total |  13.5061124       347  .038922514   Root MSE        =    .19758

------------------------------------------------------------------------------
ChgThre~3_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0440449   .0444941    -0.99   0.323    -.1315587    .0434689
    jointdem |   .0317593   .1077865     0.29   0.768    -.1802421    .2437606
       _cons |   .0073064   .0109934     0.66   0.507    -.0143161     .028929
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.97
       Model |  .075002537         2  .037501269   Prob > F        =    0.3818
    Residual |  13.4008377       345  .038843008   R-squared       =    0.0056
-------------+----------------------------------   Adj R-squared   =   -0.0002
       Total |  13.4758403       347  .038835275   Root MSE        =    .19709

------------------------------------------------------------------------------
ChgThre~3_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0616685   .0443838    -1.39   0.166    -.1489654    .0256285
    jointdem |   .0559647   .1075194     0.52   0.603    -.1555113    .2674407
       _cons |   .0063875   .0109662     0.58   0.561    -.0151815    .0279564
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       348
-------------+----------------------------------   F(2, 345)       =      0.77
       Model |  .072436464         2  .036218232   Prob > F        =    0.4648
    Residual |  16.2716794       345  .047164288   R-squared       =    0.0044
-------------+----------------------------------   Adj R-squared   =   -0.0013
       Total |  16.3441158       347  .047101198   Root MSE        =    .21717

------------------------------------------------------------------------------
ChgThr~3_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0604926   .0489074    -1.24   0.217    -.1566869    .0357016
    jointdem |    .048368   .1184778     0.41   0.683    -.1846617    .2813977
       _cons |   .0105658   .0120839     0.87   0.383    -.0132015    .0343331
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.051   \\
            &     (0.045)   \\
jointdem    &       0.041   \\
            &     (0.109)   \\
_cons       &       0.007   \\
            &     (0.011)   \\

.                         /* Obtain data for graph plot */
>                         gen b3_demA_Pre5  = _b[onedem];

.                         gen se3_lo_demA_Pre5 = _b[onedem]-1.96*_se[onedem];

.                         gen se3_hi_demA_Pre5 = _b[onedem]+1.96*_se[onedem];

.                         gen b3_2dem_Pre5  = _b[jointdem];

.                         gen se3_lo_2dem_Pre5 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se3_hi_2dem_Pre5 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Generate placement for graph */
>                         gen Chg3_pre5=1;

.                         gen Chg3_pre4=2;

.                         gen Chg3_pre3=3;

.                         gen Chg3_pre2=4;

.                         gen Chg3_pre1=5;

.                         gen Chg3_post0=6;

.                         gen Chg3_post1=7;

.                         gen Chg3_post2=8;

.                         gen Chg3_post3=9;

.                         gen Chg3_post4=10;

.                         gen Chg3_post5=11;

.                 /*Analyze Threat t-2 for each value for 5 years pre- and post-intervention */
>                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Post5==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.17
       Model |  .002807501         2  .001403751   Prob > F        =    0.8412
    Residual |  2.88919503       356  .008115716   R-squared       =    0.0010
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  2.89200253       358  .008078219   Root MSE        =    .09009

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |     .00467   .0108357     0.43   0.667      -.01664      .02598
    jointdem |  -.0093113   .0169838    -0.55   0.584    -.0427125    .0240899
       _cons |  -.0002769   .0060875    -0.05   0.964     -.012249    .0116951
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.24
       Model |  .004229536         2  .002114768   Prob > F        =    0.7851
    Residual |  3.10876649       356   .00873249   R-squared       =    0.0014
-------------+----------------------------------   Adj R-squared   =   -0.0043
       Total |  3.11299602       358   .00869552   Root MSE        =    .09345

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0058767   .0112399     0.52   0.601    -.0162282    .0279816
    jointdem |  -.0113018   .0176173    -0.64   0.522    -.0459489    .0233453
       _cons |  -.0016113   .0063146    -0.26   0.799    -.0140299    .0108073
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.24
       Model |  .004302887         2  .002151444   Prob > F        =    0.7887
    Residual |  3.22424128       356  .009056858   R-squared       =    0.0013
-------------+----------------------------------   Adj R-squared   =   -0.0043
       Total |  3.22854417       358   .00901828   Root MSE        =    .09517

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0049985   .0114467     0.44   0.663    -.0175132    .0275102
    jointdem |  -.0120288   .0179415    -0.67   0.503    -.0473136    .0232559
       _cons |  -.0001057   .0064308    -0.02   0.987    -.0127529    .0125414
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.27
       Model |  .004902521         2   .00245126   Prob > F        =    0.7620
    Residual |  3.20850208       356  .009012646   R-squared       =    0.0015
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |   3.2134046       358  .008975991   Root MSE        =    .09493

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0064405   .0114187     0.56   0.573    -.0160162    .0288972
    jointdem |  -.0120594   .0178977    -0.67   0.501    -.0472579    .0231391
       _cons |  -.0012552   .0064151    -0.20   0.845    -.0138715    .0113611
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.36
       Model |  .006351724         2  .003175862   Prob > F        =    0.7012
    Residual |  3.18238044       356  .008939271   R-squared       =    0.0020
-------------+----------------------------------   Adj R-squared   =   -0.0036
       Total |  3.18873217       358  .008907073   Root MSE        =    .09455

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0055058   .0113722     0.48   0.629    -.0168592    .0278709
    jointdem |  -.0148332   .0178247    -0.83   0.406    -.0498882    .0202217
       _cons |  -.0008944   .0063889    -0.14   0.889    -.0134592    .0116704
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.27
       Model |  .005410271         2  .002705136   Prob > F        =    0.7599
    Residual |  3.50415642       356  .009843136   R-squared       =    0.0015
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  3.50956669       358  .009803259   Root MSE        =    .09921

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0058949   .0119333     0.49   0.622    -.0175736    .0293635
    jointdem |  -.0133368   .0187041    -0.71   0.476    -.0501213    .0234477
       _cons |  -.0006507   .0067042    -0.10   0.923    -.0138354    .0125341
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.32
       Model |  .005941694         2  .002970847   Prob > F        =    0.7265
    Residual |  3.30720491       356  .009289901   R-squared       =    0.0018
-------------+----------------------------------   Adj R-squared   =   -0.0038
       Total |  3.31314661       358  .009254599   Root MSE        =    .09638

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0073713   .0115931     0.64   0.525    -.0154282    .0301707
    jointdem |  -.0129744   .0181709    -0.71   0.476    -.0487102    .0227614
       _cons |  -.0018618    .006513    -0.29   0.775    -.0146706    .0109471
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.26
       Model |  .004685096         2  .002342548   Prob > F        =    0.7687
    Residual |  3.16814848       356  .008899293   R-squared       =    0.0015
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  3.17283357       358  .008862664   Root MSE        =    .09434

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0047013   .0113467     0.41   0.679    -.0176138    .0270163
    jointdem |  -.0127476   .0177848    -0.72   0.474    -.0477241    .0222288
       _cons |    .000123   .0063746     0.02   0.985    -.0124137    .0126597
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.20
       Model |  .003371129         2  .001685565   Prob > F        =    0.8154
    Residual |     2.93809       356  .008253062   R-squared       =    0.0011
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  2.94146113       358  .008216372   Root MSE        =    .09085

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0058898    .010927     0.54   0.590    -.0155998    .0273793
    jointdem |  -.0093222   .0171269    -0.54   0.587    -.0430048    .0243604
       _cons |  -.0022135   .0061388    -0.36   0.719    -.0142864    .0098595
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.28
       Model |  .005471939         2  .002735969   Prob > F        =    0.7566
    Residual |  3.49007893       356  .009803592   R-squared       =    0.0016
-------------+----------------------------------   Adj R-squared   =   -0.0040
       Total |  3.49555087       358  .009764109   Root MSE        =    .09901

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0068463   .0119093     0.57   0.566     -.016575    .0302677
    jointdem |  -.0126984   .0186665    -0.68   0.497    -.0494089    .0240121
       _cons |  -.0023982   .0066907    -0.36   0.720    -.0155565      .01076
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.005   \\
            &     (0.011)   \\
jointdem    &      -0.012   \\
            &     (0.018)   \\
_cons       &      -0.001   \\
            &     (0.006)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Post5  = _b[onedem];

.                         gen se2_lo_demA_Post5 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Post5 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Post5  = _b[jointdem];

.                         gen se2_lo_2dem_Post5 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Post5 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Post4==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.17
       Model |  .020702965         2  .010351483   Prob > F        =    0.3102
    Residual |  3.31433995       376  .008814734   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0009
       Total |  3.33504292       378  .008822865   Root MSE        =    .09389

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0149556   .0111707    -1.34   0.181    -.0369204    .0070092
    jointdem |   .0218008   .0170959     1.28   0.203    -.0118146    .0554163
       _cons |   .0028898   .0061245     0.47   0.637    -.0091528    .0149323
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      0.92
       Model |  .018880838         2  .009440419   Prob > F        =    0.3997
    Residual |  3.86115807       376  .010269037   R-squared       =    0.0049
-------------+----------------------------------   Adj R-squared   =   -0.0004
       Total |  3.88003891       378  .010264653   Root MSE        =    .10134

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0142382    .012057    -1.18   0.238    -.0379458    .0094695
    jointdem |   .0208956   .0184523     1.13   0.258    -.0153871    .0571783
       _cons |   .0032076   .0066104     0.49   0.628    -.0097905    .0162057
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.14
       Model |  .022796753         2  .011398376   Prob > F        =    0.3212
    Residual |  3.76285319       376  .010007588   R-squared       =    0.0060
-------------+----------------------------------   Adj R-squared   =    0.0007
       Total |  3.78564994       378  .010014947   Root MSE        =    .10004

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0152282   .0119025    -1.28   0.202    -.0386321    .0081757
    jointdem |   .0236234   .0182159     1.30   0.195    -.0121944    .0594413
       _cons |   .0024198   .0065258     0.37   0.711    -.0104117    .0152514
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      0.96
       Model |  .019979243         2  .009989622   Prob > F        =    0.3849
    Residual |  3.92443286       376  .010437321   R-squared       =    0.0051
-------------+----------------------------------   Adj R-squared   =   -0.0002
       Total |   3.9444121       378  .010434953   Root MSE        =    .10216

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0149803   .0121554    -1.23   0.219    -.0388814    .0089208
    jointdem |   .0208821   .0186029     1.12   0.262    -.0156967    .0574609
       _cons |   .0041007   .0066644     0.62   0.539    -.0090034    .0172049
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.24
       Model |  .024169963         2  .012084982   Prob > F        =    0.2917
    Residual |  3.67642298       376  .009777721   R-squared       =    0.0065
-------------+----------------------------------   Adj R-squared   =    0.0012
       Total |  3.70059294       378  .009789928   Root MSE        =    .09888

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0167643   .0117651    -1.42   0.155    -.0398978    .0063693
    jointdem |    .022367   .0180055     1.24   0.215    -.0130371    .0577711
       _cons |   .0048758   .0064504     0.76   0.450    -.0078076    .0175591
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.03
       Model |  .023354684         2  .011677342   Prob > F        =    0.3576
    Residual |  4.25848049       376  .011325746   R-squared       =    0.0055
-------------+----------------------------------   Adj R-squared   =    0.0002
       Total |  4.28183517       378  .011327606   Root MSE        =    .10642

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0165181   .0126622    -1.30   0.193    -.0414156    .0083795
    jointdem |   .0218993   .0193785     1.13   0.259    -.0162045     .060003
       _cons |   .0040152   .0069422     0.58   0.563    -.0096353    .0176656
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      0.97
       Model |  .020947029         2  .010473514   Prob > F        =    0.3801
    Residual |  4.06078174       376  .010799951   R-squared       =    0.0051
-------------+----------------------------------   Adj R-squared   =   -0.0002
       Total |  4.08172877       378  .010798224   Root MSE        =    .10392

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0156391   .0123648    -1.26   0.207    -.0399518    .0086737
    jointdem |   .0207497   .0189233     1.10   0.274    -.0164591    .0579585
       _cons |   .0050266   .0067792     0.74   0.459    -.0083032    .0183565
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.17
       Model |  .022833522         2  .011416761   Prob > F        =    0.3115
    Residual |  3.66908603       376  .009758208   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0009
       Total |  3.69191955       378  .009766983   Root MSE        =    .09878

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0157362   .0117533    -1.34   0.181    -.0388467    .0073742
    jointdem |   .0228426   .0179875     1.27   0.205    -.0125261    .0582114
       _cons |   .0032065   .0064439     0.50   0.619    -.0094641    .0158772
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      0.73
       Model |    .0144823         2   .00724115   Prob > F        =    0.4821
    Residual |  3.72399673       376  .009904247   R-squared       =    0.0039
-------------+----------------------------------   Adj R-squared   =   -0.0014
       Total |  3.73847903       378  .009890156   Root MSE        =    .09952

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0125772   .0118409    -1.06   0.289      -.03586    .0107055
    jointdem |   .0181119   .0181216     1.00   0.318    -.0175205    .0537444
       _cons |   .0038742    .006492     0.60   0.551     -.008891    .0166393
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      0.91
       Model |  .021294249         2  .010647124   Prob > F        =    0.4034
    Residual |  4.39963176       376  .011701148   R-squared       =    0.0048
-------------+----------------------------------   Adj R-squared   =   -0.0005
       Total |  4.42092601       378  .011695571   Root MSE        =    .10817

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0157042   .0128703    -1.22   0.223     -.041011    .0096026
    jointdem |    .021063    .019697     1.07   0.286    -.0176671    .0597931
       _cons |   .0049355   .0070564     0.70   0.485    -.0089394    .0188104
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.015   \\
            &     (0.012)   \\
jointdem    &       0.022   \\
            &     (0.018)   \\
_cons       &       0.003   \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Post4  = _b[onedem];

.                         gen se2_lo_demA_Post4 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Post4 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Post4  = _b[jointdem];

.                         gen se2_lo_2dem_Post4 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Post4 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Post3==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.34
       Model |  .027642357         2  .013821179   Prob > F        =    0.2641
    Residual |  3.99311623       386  .010344861   R-squared       =    0.0069
-------------+----------------------------------   Adj R-squared   =    0.0017
       Total |  4.02075858       388   .01036278   Root MSE        =    .10171

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0183974   .0118307     1.56   0.121    -.0048632     .041658
    jointdem |  -.0209946   .0183646    -1.14   0.254    -.0571018    .0151126
       _cons |  -.0071543   .0065791    -1.09   0.278    -.0200896    .0057809
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.83
       Model |  .018201866         2  .009100933   Prob > F        =    0.4379
    Residual |  4.24477522       386  .010996827   R-squared       =    0.0043
-------------+----------------------------------   Adj R-squared   =   -0.0009
       Total |  4.26297709       388  .010987054   Root MSE        =    .10487

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0148207   .0121978     1.22   0.225    -.0091617    .0388031
    jointdem |  -.0174092   .0189345    -0.92   0.358    -.0546368    .0198184
       _cons |  -.0051671   .0067832    -0.76   0.447    -.0185038    .0081695
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.13
       Model |  .028461318         2  .014230659   Prob > F        =    0.3227
    Residual |  4.84288523       386  .012546335   R-squared       =    0.0058
-------------+----------------------------------   Adj R-squared   =    0.0007
       Total |  4.87134655       388  .012555017   Root MSE        =    .11201

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0190312   .0130288     1.46   0.145    -.0065852    .0446476
    jointdem |   -.019797   .0202245    -0.98   0.328     -.059561     .019967
       _cons |  -.0088271   .0072454    -1.22   0.224    -.0230724    .0054182
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.04
       Model |  .025362301         2   .01268115   Prob > F        =    0.3547
    Residual |  4.71029974       386  .012202849   R-squared       =    0.0054
-------------+----------------------------------   Adj R-squared   =    0.0002
       Total |  4.73566204       388  .012205315   Root MSE        =    .11047

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0179455   .0128493     1.40   0.163    -.0073178    .0432088
    jointdem |  -.0187826   .0199457    -0.94   0.347    -.0579984    .0204333
       _cons |   -.008197   .0071455    -1.15   0.252     -.022246    .0058519
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.01
       Model |  .022592347         2  .011296174   Prob > F        =    0.3658
    Residual |  4.32504784       386  .011204787   R-squared       =    0.0052
-------------+----------------------------------   Adj R-squared   =    0.0000
       Total |  4.34764019       388  .011205258   Root MSE        =    .10585

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0167022   .0123126     1.36   0.176    -.0075059    .0409104
    jointdem |  -.0187211   .0191127    -0.98   0.328    -.0562991    .0188568
       _cons |  -.0081218    .006847    -1.19   0.236    -.0215839    .0053404
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.97
       Model |  .022490176         2  .011245088   Prob > F        =    0.3818
    Residual |  4.49722679       386  .011650847   R-squared       =    0.0050
-------------+----------------------------------   Adj R-squared   =   -0.0002
       Total |  4.51971696       388  .011648755   Root MSE        =    .10794

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0159252   .0125553     1.27   0.205    -.0087601    .0406105
    jointdem |  -.0208964   .0194894    -1.07   0.284    -.0592151    .0174222
       _cons |  -.0051514    .006982    -0.74   0.461    -.0188789    .0085761
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.87
       Model |  .020008359         2   .01000418   Prob > F        =    0.4209
    Residual |  4.45259462       386  .011535219   R-squared       =    0.0045
-------------+----------------------------------   Adj R-squared   =   -0.0007
       Total |  4.47260298       388  .011527327   Root MSE        =     .1074

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0151849   .0124928     1.22   0.225    -.0093776    .0397474
    jointdem |  -.0192952   .0193924    -0.99   0.320    -.0574232    .0188329
       _cons |  -.0064162   .0069473    -0.92   0.356    -.0200754    .0072431
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      1.10
       Model |  .025490243         2  .012745122   Prob > F        =    0.3325
    Residual |  4.45536059       386  .011542385   R-squared       =    0.0057
-------------+----------------------------------   Adj R-squared   =    0.0005
       Total |  4.48085084       388  .011548585   Root MSE        =    .10744

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0177394   .0124967     1.42   0.157    -.0068307    .0423095
    jointdem |   -.019892   .0193985    -1.03   0.306    -.0580319    .0182478
       _cons |  -.0079844   .0069494    -1.15   0.251    -.0216479     .005679
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.79
       Model |   .01696098         2   .00848049   Prob > F        =    0.4534
    Residual |  4.13059584       386  .010701025   R-squared       =    0.0041
-------------+----------------------------------   Adj R-squared   =   -0.0011
       Total |  4.14755682       388  .010689579   Root MSE        =    .10345

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0146013   .0120326     1.21   0.226    -.0090564     .038259
    jointdem |  -.0156952   .0186781    -0.84   0.401    -.0524187    .0210283
       _cons |   -.006227   .0066914    -0.93   0.353    -.0193831     .006929
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.89
       Model |   .02214289         2  .011071445   Prob > F        =    0.4107
    Residual |  4.79107566       386  .012412113   R-squared       =    0.0046
-------------+----------------------------------   Adj R-squared   =   -0.0006
       Total |  4.81321855       388  .012405202   Root MSE        =    .11141

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0165447    .012959     1.28   0.202    -.0089342    .0420237
    jointdem |  -.0184979    .020116    -0.92   0.358    -.0580486    .0210528
       _cons |  -.0067687   .0072065    -0.94   0.348    -.0209376    .0074002
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.017   \\
            &     (0.013)   \\
jointdem    &      -0.019   \\
            &     (0.019)   \\
_cons       &      -0.007   \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Post3  = _b[onedem];

.                         gen se2_lo_demA_Post3 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Post3 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Post3  = _b[jointdem];

.                         gen se2_lo_2dem_Post3 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Post3 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Post2==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.05
       Model |  .001247137         2  .000623568   Prob > F        =    0.9481
    Residual |  4.84219995       414  .011696135   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  4.84344709       416  .011642902   Root MSE        =    .10815

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0033713   .0119691    -0.28   0.778    -.0268992    .0201566
    jointdem |   .0050946   .0188832     0.27   0.787    -.0320243    .0422136
       _cons |   .0060178   .0068263     0.88   0.379    -.0074007    .0194363
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.05
       Model |  .001275989         2  .000637995   Prob > F        =    0.9527
    Residual |   5.4539117       414    .0131737   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  5.45518769       416  .013113432   Root MSE        =    .11478

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0017146   .0127027     0.13   0.893    -.0232552    .0266844
    jointdem |   .0039231   .0200405     0.20   0.845    -.0354707     .043317
       _cons |   .0028875   .0072446     0.40   0.690    -.0113534    .0171284
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.03
       Model |  .000740439         2   .00037022   Prob > F        =    0.9734
    Residual |  5.68433479       414  .013730277   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  5.68507523       416  .013666046   Root MSE        =    .11718

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0021241   .0129683    -0.16   0.870    -.0276159    .0233678
    jointdem |   .0044777   .0204595     0.22   0.827    -.0357397    .0446951
       _cons |   .0058999   .0073961     0.80   0.426    -.0086387    .0204385
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.03
       Model |  .000827905         2  .000413952   Prob > F        =    0.9701
    Residual |  5.64326617       414  .013631078   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  5.64409407       416  .013567534   Root MSE        =    .11675

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0029588   .0129213    -0.23   0.819    -.0283584    .0224408
    jointdem |   .0036754   .0203854     0.18   0.857    -.0363965    .0437473
       _cons |   .0069061   .0073693     0.94   0.349    -.0075799     .021392
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.04
       Model |  .000873386         2  .000436693   Prob > F        =    0.9647
    Residual |  5.02459544       414  .012136704   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  5.02546882       416  .012080454   Root MSE        =    .11017

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0002947   .0121925     0.02   0.981    -.0236722    .0242616
    jointdem |   .0044466   .0192356     0.23   0.817     -.033365    .0422582
       _cons |   .0047135   .0069537     0.68   0.498    -.0089554    .0183824
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.04
       Model |  .001150345         2  .000575173   Prob > F        =    0.9579
    Residual |  5.53342226       414  .013365754   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |   5.5345726       416  .013304261   Root MSE        =    .11561

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0028312    .012795    -0.22   0.825    -.0279823      .02232
    jointdem |   .0054251   .0201861     0.27   0.788    -.0342549    .0451051
       _cons |   .0062343   .0072973     0.85   0.393      -.00811    .0205786
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.01
       Model |  .000358178         2  .000179089   Prob > F        =    0.9858
    Residual |  5.17197605       414  .012492696   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  5.17233423       416  .012433496   Root MSE        =    .11177

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0013043     .01237    -0.11   0.916    -.0256202    .0230116
    jointdem |   .0032173   .0195157     0.16   0.869    -.0351449    .0415794
       _cons |   .0067071   .0070549     0.95   0.342    -.0071608     .020575
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.04
       Model |  .001080887         2  .000540443   Prob > F        =    0.9585
    Residual |  5.27350624       414  .012737938   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  5.27458712       416  .012679296   Root MSE        =    .11286

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0029018   .0124908    -0.23   0.816    -.0274551    .0216516
    jointdem |   .0050885   .0197063     0.26   0.796    -.0336483    .0438254
       _cons |   .0061745   .0071238     0.87   0.387    -.0078289    .0201779
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.01
       Model |   .00033828         2   .00016914   Prob > F        =    0.9868
    Residual |  5.28366582       414  .012762478   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |   5.2840041       416  .012701933   Root MSE        =    .11297

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0005673   .0125029     0.05   0.964    -.0240097    .0251443
    jointdem |   .0024051   .0197253     0.12   0.903     -.036369    .0411793
       _cons |   .0037655   .0071307     0.53   0.598    -.0102513    .0177824
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.02
       Model |  .000568744         2  .000284372   Prob > F        =    0.9804
    Residual |   5.9414232       414  .014351264   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  5.94199194       416  .014283634   Root MSE        =     .1198

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0005718   .0132583    -0.04   0.966    -.0266338    .0254901
    jointdem |   .0040604    .020917     0.19   0.846    -.0370564    .0451773
       _cons |   .0048413   .0075615     0.64   0.522    -.0100224    .0197051
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.001   \\
            &     (0.013)   \\
jointdem    &       0.004   \\
            &     (0.020)   \\
_cons       &       0.005   \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Post2  = _b[onedem];

.                         gen se2_lo_demA_Post2 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Post2 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Post2  = _b[jointdem];

.                         gen se2_lo_2dem_Post2 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Post2 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Post1==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.46
       Model |  .012191919         2   .00609596   Prob > F        =    0.6291
    Residual |  5.66268365       431  .013138477   R-squared       =    0.0021
-------------+----------------------------------   Adj R-squared   =   -0.0025
       Total |  5.67487557       433  .013105948   Root MSE        =    .11462

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0120799   .0125405    -0.96   0.336     -.036728    .0125682
    jointdem |    .008269   .0211275     0.39   0.696    -.0332567    .0497948
       _cons |   .0119935    .006912     1.74   0.083     -.001592     .025579
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.36
       Model |   .01052194         2   .00526097   Prob > F        =    0.6981
    Residual |  6.30440879       431  .014627399   R-squared       =    0.0017
-------------+----------------------------------   Adj R-squared   =   -0.0030
       Total |  6.31493073       433  .014584136   Root MSE        =    .12094

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0109277    .013232    -0.83   0.409    -.0369349    .0150796
    jointdem |   .0036873   .0222925     0.17   0.869    -.0401282    .0475029
       _cons |   .0134548   .0072932     1.84   0.066    -.0008798    .0277894
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.22
       Model |  .006253921         2   .00312696   Prob > F        =    0.8021
    Residual |  6.10902632       431  .014174075   R-squared       =    0.0010
-------------+----------------------------------   Adj R-squared   =   -0.0036
       Total |  6.11528024       433  .014123049   Root MSE        =    .11905

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0086283   .0130253    -0.66   0.508    -.0342294    .0169728
    jointdem |   .0069892   .0219444     0.32   0.750    -.0361421    .0501205
       _cons |   .0104795   .0071793     1.46   0.145    -.0036313    .0245902
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.26
       Model |  .008061806         2  .004030903   Prob > F        =    0.7686
    Residual |  6.59791758       431  .015308393   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |  6.60597939       433  .015256303   Root MSE        =    .12373

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0098233   .0135365    -0.73   0.468    -.0364291    .0167825
    jointdem |   .0068096   .0228055     0.30   0.765    -.0380143    .0516335
       _cons |   .0119713    .007461     1.60   0.109    -.0026932    .0266358
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.27
       Model |  .007256656         2  .003628328   Prob > F        =    0.7614
    Residual |  5.73366371       431  .013303164   R-squared       =    0.0013
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |  5.74092037       433  .013258477   Root MSE        =    .11534

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0092328   .0126188    -0.73   0.465    -.0340349    .0155693
    jointdem |   .0083776   .0212595     0.39   0.694    -.0334076    .0501628
       _cons |   .0102796   .0069552     1.48   0.140    -.0033907      .02395
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.38
       Model |  .012875065         2  .006437533   Prob > F        =    0.6812
    Residual |  7.22213563       431  .016756695   R-squared       =    0.0018
-------------+----------------------------------   Adj R-squared   =   -0.0029
       Total |  7.23501069       433  .016709032   Root MSE        =    .12945

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0123449   .0141624    -0.87   0.384    -.0401808     .015491
    jointdem |   .0106028     .02386     0.44   0.657    -.0362936    .0574991
       _cons |   .0123256    .007806     1.58   0.115     -.003017    .0276681
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.47
       Model |  .014139433         2  .007069717   Prob > F        =    0.6271
    Residual |  6.52159347       431  .015131307   R-squared       =    0.0022
-------------+----------------------------------   Adj R-squared   =   -0.0025
       Total |   6.5357329       433  .015094071   Root MSE        =    .12301

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0130047    .013458    -0.97   0.334    -.0394561    .0134467
    jointdem |   .0085173   .0226733     0.38   0.707    -.0360466    .0530812
       _cons |   .0143403   .0074177     1.93   0.054    -.0002392    .0289197
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.25
       Model |  .006937553         2  .003468776   Prob > F        =    0.7798
    Residual |  6.00605796       431  .013935169   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0035
       Total |  6.01299551       433  .013886826   Root MSE        =    .11805

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0089381   .0129151    -0.69   0.489    -.0343225    .0164463
    jointdem |   .0089462   .0217586     0.41   0.681    -.0338201    .0517124
       _cons |   .0101356   .0071185     1.42   0.155    -.0038557    .0241269
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.30
       Model |   .00845332         2   .00422666   Prob > F        =    0.7409
    Residual |  6.07079611       431  .014085374   R-squared       =    0.0014
-------------+----------------------------------   Adj R-squared   =   -0.0032
       Total |  6.07924943       433  .014039837   Root MSE        =    .11868

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0092225   .0129845    -0.71   0.478    -.0347434    .0162983
    jointdem |   .0002594   .0218756     0.01   0.991    -.0427367    .0432555
       _cons |      .0141   .0071568     1.97   0.049     .0000335    .0281666
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       434
-------------+----------------------------------   F(2, 431)       =      0.26
       Model |  .008628118         2  .004314059   Prob > F        =    0.7739
    Residual |  7.24932266       431  .016819774   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |  7.25795078       433  .016762011   Root MSE        =    .12969

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0100924    .014189    -0.71   0.477    -.0379807    .0177958
    jointdem |    .005199   .0239048     0.22   0.828    -.0417856    .0521835
       _cons |   .0135129   .0078207     1.73   0.085    -.0018585    .0288843
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.010   \\
            &     (0.013)   \\
jointdem    &       0.007   \\
            &     (0.022)   \\
_cons       &       0.012   \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Post1  = _b[onedem];

.                         gen se2_lo_demA_Post1 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Post1 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Post1  = _b[jointdem];

.                         gen se2_lo_2dem_Post1 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Post1 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Intervention==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      0.97
       Model |  .024668698         2  .012334349   Prob > F        =    0.3793
    Residual |  5.62431898       443   .01269598   R-squared       =    0.0044
-------------+----------------------------------   Adj R-squared   =   -0.0001
       Total |  5.64898768       445  .012694354   Root MSE        =    .11268

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0160329   .0118626    -1.35   0.177    -.0393468     .007281
    jointdem |   .0042728   .0204837     0.21   0.835    -.0359845    .0445301
       _cons |   .0135907    .006832     1.99   0.047     .0001635    .0270178
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      0.90
       Model |  .024121945         2  .012060973   Prob > F        =    0.4073
    Residual |  5.93706989       443  .013401964   R-squared       =    0.0040
-------------+----------------------------------   Adj R-squared   =   -0.0004
       Total |  5.96119183       445  .013395937   Root MSE        =    .11577

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0163039   .0121879    -1.34   0.182    -.0402572    .0076495
    jointdem |    .008915   .0210455     0.42   0.672    -.0324464    .0502765
       _cons |   .0129068   .0070194     1.84   0.067    -.0008886    .0267023
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      1.24
       Model |  .035196026         2  .017598013   Prob > F        =    0.2914
    Residual |  6.30418691       443   .01423067   R-squared       =    0.0056
-------------+----------------------------------   Adj R-squared   =    0.0011
       Total |  6.33938293       445  .014245804   Root MSE        =    .11929

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0188468   .0125591    -1.50   0.134    -.0435297     .005836
    jointdem |   .0031888   .0216864     0.15   0.883    -.0394323    .0458098
       _cons |   .0149626   .0072332     2.07   0.039      .000747    .0291782
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      0.88
       Model |  .025213101         2   .01260655   Prob > F        =    0.4144
    Residual |  6.32767207       443  .014283684   R-squared       =    0.0040
-------------+----------------------------------   Adj R-squared   =   -0.0005
       Total |  6.35288517       445  .014276146   Root MSE        =    .11951

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0163545   .0125825    -1.30   0.194    -.0410832    .0083743
    jointdem |   .0054165   .0217268     0.25   0.803    -.0372839    .0481169
       _cons |   .0136839   .0072466     1.89   0.060    -.0005581    .0279259
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      1.50
       Model |  .036583314         2  .018291657   Prob > F        =    0.2232
    Residual |  5.38430886       443  .012154196   R-squared       =    0.0067
-------------+----------------------------------   Adj R-squared   =    0.0023
       Total |  5.42089217       445   .01218178   Root MSE        =    .11025

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0188978   .0116067    -1.63   0.104    -.0417088    .0039133
    jointdem |   .0015573   .0200419     0.08   0.938    -.0378317    .0409462
       _cons |   .0169912   .0066846     2.54   0.011     .0038536    .0301288
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      0.91
       Model |  .026580681         2   .01329034   Prob > F        =    0.4052
    Residual |   6.5034264       443  .014680421   R-squared       =    0.0041
-------------+----------------------------------   Adj R-squared   =   -0.0004
       Total |  6.53000708       445  .014674173   Root MSE        =    .12116

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0168386    .012756    -1.32   0.188    -.0419084    .0082313
    jointdem |   .0059536   .0220265     0.27   0.787    -.0373357    .0492429
       _cons |   .0162819   .0073466     2.22   0.027     .0018434    .0307204
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      0.66
       Model |  .018656639         2  .009328319   Prob > F        =    0.5165
    Residual |  6.24566988       443  .014098578   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  6.26432652       445  .014077138   Root MSE        =    .11874

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0140318   .0125007    -1.12   0.262    -.0385998    .0105362
    jointdem |   .0043687   .0215855     0.20   0.840    -.0380541    .0467915
       _cons |   .0138462   .0071995     1.92   0.055    -.0003032    .0279957
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      1.29
       Model |  .034215944         2  .017107972   Prob > F        =    0.2750
    Residual |  5.85282081       443  .013211785   R-squared       =    0.0058
-------------+----------------------------------   Adj R-squared   =    0.0013
       Total |  5.88703675       445  .013229296   Root MSE        =    .11494

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.018363   .0121011    -1.52   0.130    -.0421458    .0054198
    jointdem |    .001948   .0208957     0.09   0.926     -.039119    .0430149
       _cons |   .0158591   .0069694     2.28   0.023     .0021619    .0295563
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      0.69
       Model |  .017679655         2  .008839827   Prob > F        =    0.5019
    Residual |  5.67228421       443  .012804253   R-squared       =    0.0031
-------------+----------------------------------   Adj R-squared   =   -0.0014
       Total |  5.68996387       445  .012786436   Root MSE        =    .11316

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0139635   .0119131    -1.17   0.242    -.0373766    .0094497
    jointdem |   .0109088   .0205709     0.53   0.596    -.0295198    .0513374
       _cons |   .0100163   .0068611     1.46   0.145     -.003468    .0235006
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      0.98
       Model |  .028998613         2  .014499306   Prob > F        =    0.3754
    Residual |  6.54098124       443  .014765195   R-squared       =    0.0044
-------------+----------------------------------   Adj R-squared   =   -0.0001
       Total |  6.56997986       445     .014764   Root MSE        =    .12151

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0178656   .0127928    -1.40   0.163    -.0430077    .0072765
    jointdem |   .0095576     .02209     0.43   0.665    -.0338566    .0529717
       _cons |   .0146287   .0073678     1.99   0.048     .0001486    .0291088
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.017   \\
            &     (0.012)   \\
jointdem    &       0.005   \\
            &     (0.021)   \\
_cons       &       0.014** \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Post0  = _b[onedem];

.                         gen se2_lo_demA_Post0 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Post0 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Post0  = _b[jointdem];

.                         gen se2_lo_2dem_Post0 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Post0 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Pre1==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.00
       Model |   .00011791         2  .000058955   Prob > F        =    0.9959
    Residual |  5.77595781       400  .014439895   R-squared       =    0.0000
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  5.77607572       402  .014368348   Root MSE        =    .12017

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0023112   .0275772     0.08   0.933    -.0519031    .0565255
    jointdem |  -.0007441   .0502691    -0.01   0.988    -.0995687    .0980805
       _cons |   -.002979   .0062054    -0.48   0.631    -.0151782    .0092202
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.07
       Model |  .002194694         2  .001097347   Prob > F        =    0.9342
    Residual |  6.45166285       400  .016129157   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  6.45385754       402  .016054372   Root MSE        =      .127

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0107269   .0291457    -0.37   0.713    -.0680247    .0465709
    jointdem |   .0090605   .0531282     0.17   0.865    -.0953849    .1135058
       _cons |   .0006198   .0065583     0.09   0.925    -.0122732    .0135128
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.01
       Model |  .000309016         2  .000154508   Prob > F        =    0.9905
    Residual |  6.44491285       400  .016112282   R-squared       =    0.0000
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  6.44522186       402   .01603289   Root MSE        =    .12693

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0036173   .0291304     0.12   0.901    -.0536506    .0608851
    jointdem |  -.0006547   .0531004    -0.01   0.990    -.1050453     .103736
       _cons |  -.0038102   .0065549    -0.58   0.561    -.0166965    .0090761
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.01
       Model |  .000276516         2  .000138258   Prob > F        =    0.9916
    Residual |  6.57710075       400  .016442752   R-squared       =    0.0000
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  6.57737727       402  .016361635   Root MSE        =    .12823

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0038149   .0294276    -0.13   0.897     -.061667    .0540373
    jointdem |   .0037773   .0536422     0.07   0.944    -.1016785    .1092331
       _cons |  -.0027279   .0066217    -0.41   0.681    -.0157457    .0102898
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.00
       Model |  .000116353         2  .000058177   Prob > F        =    0.9961
    Residual |   5.9757066       400  .014939267   R-squared       =    0.0000
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  5.97582296       402  .014865231   Root MSE        =    .12223

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0020694     .02805    -0.07   0.941    -.0572132    .0530744
    jointdem |   .0040787   .0511309     0.08   0.936    -.0964403    .1045976
       _cons |   -.002791   .0063117    -0.44   0.659    -.0151993    .0096174
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.04
       Model |   .00148418         2   .00074209   Prob > F        =    0.9595
    Residual |  7.17680376       400  .017942009   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  7.17828794       402  .017856438   Root MSE        =    .13395

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0087251     .03074    -0.28   0.777    -.0691572    .0517069
    jointdem |   .0060615   .0560344     0.11   0.914    -.1040972    .1162202
       _cons |  -.0006846    .006917    -0.10   0.921    -.0142829    .0129137
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.04
       Model |  .001517725         2  .000758863   Prob > F        =    0.9562
    Residual |   6.7742872       400  .016935718   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  6.77580493       402  .016855236   Root MSE        =    .13014

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0088888   .0298655    -0.30   0.766    -.0676018    .0498241
    jointdem |   .0099333   .0544403     0.18   0.855    -.0970916    .1169583
       _cons |  -.0034622   .0067203    -0.52   0.607    -.0166736    .0097493
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.00
       Model |  .000059724         2  .000029862   Prob > F        =    0.9980
    Residual |  6.10091535       400  .015252288   R-squared       =    0.0000
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  6.10097507       402  .015176555   Root MSE        =     .1235

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0013967   .0283423     0.05   0.961    -.0543218    .0571152
    jointdem |   .0003748   .0516638     0.01   0.994    -.1011917    .1019414
       _cons |  -.0033743   .0063775    -0.53   0.597     -.015912    .0091633
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.08
       Model |  .002374469         2  .001187235   Prob > F        =    0.9240
    Residual |  6.00743155       400  .015018579   R-squared       =    0.0004
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  6.00980602       402  .014949766   Root MSE        =    .12255

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0111525   .0281243    -0.40   0.692    -.0664425    .0441375
    jointdem |   .0093081   .0512665     0.18   0.856    -.0914773    .1100935
       _cons |  -.0005664   .0063285    -0.09   0.929    -.0130076    .0118748
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       403
-------------+----------------------------------   F(2, 400)       =      0.06
       Model |  .001980384         2  .000990192   Prob > F        =    0.9464
    Residual |  7.18344847       400  .017958621   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  7.18542885       402  .017874201   Root MSE        =    .13401

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0101789   .0307542    -0.33   0.741    -.0706389    .0502812
    jointdem |   .0083703   .0560603     0.15   0.881    -.1018394      .11858
       _cons |  -.0007132   .0069202    -0.10   0.918    -.0143178    .0128913
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.002   \\
            &     (0.029)   \\
jointdem    &       0.003   \\
            &     (0.052)   \\
_cons       &      -0.002   \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Pre1  = _b[onedem];

.                         gen se2_lo_demA_Pre1 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Pre1 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Pre1  = _b[jointdem];

.                         gen se2_lo_2dem_Pre1 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Pre1 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Pre2==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.66
       Model |  .023634968         2  .011817484   Prob > F        =    0.5162
    Residual |  6.95838541       390  .017842014   R-squared       =    0.0034
-------------+----------------------------------   Adj R-squared   =   -0.0017
       Total |  6.98202038       392  .017811276   Root MSE        =    .13357

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |     .03711   .0331343     1.12   0.263    -.0280342    .1022542
    jointdem |  -.0489832   .0599866    -0.82   0.415    -.1669208    .0689543
       _cons |  -.0123214   .0069536    -1.77   0.077    -.0259926    .0013498
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.78
       Model |  .032258608         2  .016129304   Prob > F        =    0.4599
    Residual |  8.08247213       390  .020724288   R-squared       =    0.0040
-------------+----------------------------------   Adj R-squared   =   -0.0011
       Total |  8.11473073       392  .020700844   Root MSE        =    .14396

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0445345   .0357105     1.25   0.213    -.0256747    .1147436
    jointdem |  -.0445593   .0646505    -0.69   0.491    -.1716664    .0825478
       _cons |  -.0163883   .0074942    -2.19   0.029    -.0311225   -.0016542
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.69
       Model |  .026418139         2   .01320907   Prob > F        =    0.5001
    Residual |  7.42185816       390  .019030406   R-squared       =    0.0035
-------------+----------------------------------   Adj R-squared   =   -0.0016
       Total |   7.4482763       392  .019000705   Root MSE        =    .13795

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0396306     .03422     1.16   0.248    -.0276482    .1069094
    jointdem |   -.049289   .0619521    -0.80   0.427    -.1710909    .0725129
       _cons |  -.0117363   .0071814    -1.63   0.103    -.0258555    .0023829
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.76
       Model |  .030602493         2  .015301247   Prob > F        =    0.4675
    Residual |  7.83276643       390  .020084016   R-squared       =    0.0039
-------------+----------------------------------   Adj R-squared   =   -0.0012
       Total |  7.86336892       392  .020059615   Root MSE        =    .14172

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0431311   .0351545     1.23   0.221     -.025985    .1122472
    jointdem |  -.0485712    .063644    -0.76   0.446    -.1736994    .0765571
       _cons |   -.012486   .0073775    -1.69   0.091    -.0269907    .0020188
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.88
       Model |  .031572472         2  .015786236   Prob > F        =    0.4170
    Residual |  7.02210197       390   .01800539   R-squared       =    0.0045
-------------+----------------------------------   Adj R-squared   =   -0.0006
       Total |  7.05367444       392  .017994067   Root MSE        =    .13418

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0428304   .0332857     1.29   0.199    -.0226114    .1082722
    jointdem |  -.0569458   .0602606    -0.94   0.345     -.175422    .0615305
       _cons |  -.0127517   .0069853    -1.83   0.069    -.0264854     .000982
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.71
       Model |  .032790833         2  .016395417   Prob > F        =    0.4938
    Residual |  9.04611391       390  .023195164   R-squared       =    0.0036
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  9.07890475       392  .023160471   Root MSE        =     .1523

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .044357   .0377794     1.17   0.241    -.0299197    .1186337
    jointdem |   -.053296    .068396    -0.78   0.436     -.187767    .0811751
       _cons |  -.0174425   .0079284    -2.20   0.028    -.0330303   -.0018548
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.79
       Model |  .033152955         2  .016576478   Prob > F        =    0.4540
    Residual |  8.17138681       390  .020952274   R-squared       =    0.0040
-------------+----------------------------------   Adj R-squared   =   -0.0011
       Total |  8.20453976       392  .020929948   Root MSE        =    .14475

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0443852   .0359064     1.24   0.217    -.0262091    .1149795
    jointdem |  -.0552909   .0650051    -0.85   0.396    -.1830953    .0725134
       _cons |  -.0132812   .0075353    -1.76   0.079    -.0280961    .0015338
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.74
       Model |  .027336915         2  .013668457   Prob > F        =    0.4777
    Residual |  7.20174768       390   .01846602   R-squared       =    0.0038
-------------+----------------------------------   Adj R-squared   =   -0.0013
       Total |   7.2290846       392  .018441542   Root MSE        =    .13589

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0399096   .0337088     1.18   0.237     -.026364    .1061832
    jointdem |  -.0526854   .0610265    -0.86   0.388    -.1726676    .0672968
       _cons |  -.0124645   .0070741    -1.76   0.079    -.0263727    .0014438
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.91
       Model |  .033240113         2  .016620057   Prob > F        =    0.4049
    Residual |  7.15294357       390  .018340881   R-squared       =    0.0046
-------------+----------------------------------   Adj R-squared   =   -0.0005
       Total |  7.18618368       392  .018332101   Root MSE        =    .13543

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0452141   .0335943     1.35   0.179    -.0208345    .1112628
    jointdem |  -.0416375   .0608194    -0.68   0.494    -.1612124    .0779375
       _cons |  -.0129674   .0070501    -1.84   0.067    -.0268284    .0008936
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       393
-------------+----------------------------------   F(2, 390)       =      0.90
       Model |  .040141458         2  .020070729   Prob > F        =    0.4088
    Residual |  8.73050964       390  .022385922   R-squared       =    0.0046
-------------+----------------------------------   Adj R-squared   =   -0.0005
       Total |   8.7706511       392   .02237411   Root MSE        =    .14962

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0495905   .0371145     1.34   0.182    -.0233791      .12256
    jointdem |  -.0524667   .0671923    -0.78   0.435    -.1845712    .0796378
       _cons |  -.0155359   .0077889    -1.99   0.047    -.0308493   -.0002224
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.041   \\
            &     (0.034)   \\
jointdem    &      -0.050   \\
            &     (0.062)   \\
_cons       &      -0.013*  \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Pre2  = _b[onedem];

.                         gen se2_lo_demA_Pre2 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Pre2 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Pre2  = _b[jointdem];

.                         gen se2_lo_2dem_Pre2 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Pre2 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Pre3==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.12
       Model |   .00416274         2   .00208137   Prob > F        =    0.8885
    Residual |  6.70428532       381  .017596549   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  6.70844806       383   .01751553   Root MSE        =    .13265

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0086982   .0304792    -0.29   0.776    -.0686266    .0512303
    jointdem |    -.01326   .0617461    -0.21   0.830    -.1346659    .1081459
       _cons |   .0123968   .0070109     1.77   0.078    -.0013881    .0261816
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.21
       Model |  .007801516         2  .003900758   Prob > F        =    0.8074
    Residual |   6.9436316       381  .018224755   R-squared       =    0.0011
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  6.95143311       383  .018149956   Root MSE        =      .135

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0137418   .0310185    -0.44   0.658    -.0747306     .047247
    jointdem |    -.01373   .0628387    -0.22   0.827     -.137284     .109824
       _cons |   .0154314   .0071349     2.16   0.031     .0014026    .0294601
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.16
       Model |  .005850996         2  .002925498   Prob > F        =    0.8541
    Residual |  7.06374955       381  .018540025   R-squared       =    0.0008
-------------+----------------------------------   Adj R-squared   =   -0.0044
       Total |  7.06960055       383  .018458487   Root MSE        =    .13616

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0121554   .0312856    -0.39   0.698    -.0736694    .0493587
    jointdem |  -.0112208   .0633799    -0.18   0.860    -.1358389    .1133973
       _cons |   .0125256   .0071964     1.74   0.083    -.0016239    .0266752
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.21
       Model |  .008158245         2  .004079122   Prob > F        =    0.8090
    Residual |  7.32652707       381   .01922973   R-squared       =    0.0011
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  7.33468531       383  .019150614   Root MSE        =    .13867

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0139515   .0318622    -0.44   0.662    -.0765993    .0486963
    jointdem |  -.0143011    .064548    -0.22   0.825     -.141216    .1126137
       _cons |   .0148167    .007329     2.02   0.044     .0004063     .029227
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.10
       Model |  .003162139         2   .00158107   Prob > F        =    0.9069
    Residual |  6.16370723       381  .016177709   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  6.16686937       383  .016101487   Root MSE        =    .12719

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0085803   .0292246    -0.29   0.769    -.0660419    .0488813
    jointdem |  -.0091733   .0592045    -0.15   0.877    -.1255817    .1072352
       _cons |   .0132127   .0067223     1.97   0.050    -4.77e-06    .0264301
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.06
       Model |  .002424308         2  .001212154   Prob > F        =    0.9452
    Residual |  8.19196097       381   .02150121   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  8.19438527       383  .021395262   Root MSE        =    .14663

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0089175   .0336915    -0.26   0.791    -.0751621    .0573271
    jointdem |  -.0040216   .0682539    -0.06   0.953    -.1382231    .1301799
       _cons |   .0156267   .0077498     2.02   0.044      .000389    .0308644
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.22
       Model |  .008743285         2  .004371642   Prob > F        =    0.8017
    Residual |  7.53129847       381  .019767188   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  7.54004176       383  .019686793   Root MSE        =     .1406

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0123773   .0323044    -0.38   0.702    -.0758946    .0511399
    jointdem |  -.0197264   .0654438    -0.30   0.763    -.1484026    .1089499
       _cons |   .0154243   .0074307     2.08   0.039     .0008139    .0300346
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.09
       Model |  .003402304         2  .001701152   Prob > F        =    0.9098
    Residual |  6.85829749       381  .018000781   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  6.86169979       383  .017915665   Root MSE        =    .13417

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0095453   .0308273    -0.31   0.757    -.0701582    .0510676
    jointdem |  -.0078075   .0624513    -0.13   0.901       -.1306    .1149849
       _cons |   .0129297   .0070909     1.82   0.069    -.0010126     .026872
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.46
       Model |  .015158914         2  .007579457   Prob > F        =    0.6332
    Residual |  6.31128043       381  .016565041   R-squared       =    0.0024
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |  6.32643935       383  .016518118   Root MSE        =    .12871

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0171505   .0295723    -0.58   0.562    -.0752959    .0409949
    jointdem |  -.0240466    .059909    -0.40   0.688    -.1418403    .0937471
       _cons |   .0158808   .0068023     2.33   0.020     .0025061    .0292555
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       384
-------------+----------------------------------   F(2, 381)       =      0.23
       Model |  .009317742         2  .004658871   Prob > F        =    0.7934
    Residual |  7.66550295       381   .02011943   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0040
       Total |  7.67482069       383  .020038696   Root MSE        =    .14184

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0140299    .032591    -0.43   0.667    -.0781106    .0500508
    jointdem |   -.017475   .0660243    -0.26   0.791    -.1472926    .1123427
       _cons |   .0164198   .0074966     2.19   0.029     .0016798    .0311597
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.011   \\
            &     (0.031)   \\
jointdem    &      -0.012   \\
            &     (0.062)   \\
_cons       &       0.014*  \\
            &     (0.007)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Pre3  = _b[onedem];

.                         gen se2_lo_demA_Pre3 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Pre3 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Pre3  = _b[jointdem];

.                         gen se2_lo_2dem_Pre3 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Pre3 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Pre4==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.23
       Model |  .004775041         2  .002387521   Prob > F        =    0.7980
    Residual |  3.91350366       370  .010577037   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0042
       Total |   3.9182787       372  .010533007   Root MSE        =    .10284

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0079501   .0236502    -0.34   0.737    -.0544558    .0385556
    jointdem |    .032142   .0478716     0.67   0.502    -.0619926    .1262765
       _cons |    .003193    .005521     0.58   0.563    -.0076635    .0140494
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.11
       Model |  .002448116         2  .001224058   Prob > F        =    0.8966
    Residual |  4.14914795       370  .011213913   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  4.15159607       372  .011160204   Root MSE        =     .1059

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0020528   .0243518    -0.08   0.933    -.0499382    .0458326
    jointdem |   .0219707   .0492918     0.45   0.656    -.0749565    .1188979
       _cons |   .0047734   .0056848     0.84   0.402    -.0064052    .0159519
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.17
       Model |  .004059533         2  .002029766   Prob > F        =    0.8476
    Residual |  4.53985954       370  .012269891   R-squared       =    0.0009
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  4.54391908       372  .012214836   Root MSE        =    .11077

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0058038   .0254726    -0.23   0.820    -.0558931    .0442855
    jointdem |   .0295656   .0515604     0.57   0.567    -.0718226    .1309538
       _cons |    .004517   .0059464     0.76   0.448     -.007176      .01621
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.23
       Model |  .005403282         2  .002701641   Prob > F        =    0.7979
    Residual |  4.42574695       370  .011961478   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0042
       Total |  4.43115023       372  .011911694   Root MSE        =    .10937

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.001688   .0251504    -0.07   0.947    -.0511437    .0477678
    jointdem |   .0316982   .0509083     0.62   0.534    -.0684077     .131804
       _cons |   .0048265   .0058712     0.82   0.412    -.0067186    .0163716
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.12
       Model |  .002834712         2  .001417356   Prob > F        =    0.8832
    Residual |  4.22216482       370  .011411256   R-squared       =    0.0007
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  4.22499953       372  .011357526   Root MSE        =    .10682

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0063071   .0245652    -0.26   0.798     -.054612    .0419978
    jointdem |   .0247451   .0497236     0.50   0.619    -.0730312    .1225215
       _cons |   .0038897   .0057346     0.68   0.498    -.0073868    .0151662
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.11
       Model |  .002674962         2  .001337481   Prob > F        =    0.8992
    Residual |  4.65645931       370  .012585025   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  4.65913427       372  .012524554   Root MSE        =    .11218

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0071418   .0257977    -0.28   0.782    -.0578702    .0435866
    jointdem |   .0237742   .0522183     0.46   0.649    -.0789078    .1264562
       _cons |   .0026594   .0060223     0.44   0.659    -.0091829    .0145016
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.30
       Model |  .007373677         2  .003686838   Prob > F        =    0.7391
    Residual |  4.50802833       370   .01218386   R-squared       =    0.0016
-------------+----------------------------------   Adj R-squared   =   -0.0038
       Total |  4.51540201       372  .012138177   Root MSE        =    .11038

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0008005   .0253832    -0.03   0.975    -.0507139    .0491129
    jointdem |   .0360696   .0513793     0.70   0.483    -.0649626    .1371017
       _cons |   .0037476   .0059255     0.63   0.527    -.0079043    .0153996
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.15
       Model |  .003564108         2  .001782054   Prob > F        =    0.8583
    Residual |  4.31335169       370  .011657707   R-squared       =    0.0008
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |   4.3169158       372  .011604612   Root MSE        =    .10797

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0067196    .024829    -0.27   0.787    -.0555434    .0421041
    jointdem |   .0277799   .0502577     0.55   0.581    -.0710466    .1266065
       _cons |     .00329   .0057962     0.57   0.571    -.0081076    .0146876
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.39
       Model |  .008289922         2  .004144961   Prob > F        =    0.6744
    Residual |  3.88973378       370  .010512794   R-squared       =    0.0021
-------------+----------------------------------   Adj R-squared   =   -0.0033
       Total |   3.8980237       372  .010478558   Root MSE        =    .10253

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0052255   .0235783     0.22   0.825    -.0411388    .0515897
    jointdem |   .0313467    .047726     0.66   0.512    -.0625015    .1251949
       _cons |   .0049631   .0055042     0.90   0.368    -.0058603    .0157866
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       373
-------------+----------------------------------   F(2, 370)       =      0.22
       Model |  .005579814         2  .002789907   Prob > F        =    0.8038
    Residual |  4.72484502       370  .012769851   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0042
       Total |  4.73042483       372  .012716196   Root MSE        =      .113

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0003814   .0259864    -0.01   0.988    -.0514809    .0507182
    jointdem |   .0310967   .0526004     0.59   0.555    -.0723365    .1345299
       _cons |   .0042155   .0060664     0.69   0.488    -.0077133    .0161444
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.005   \\
            &     (0.025)   \\
jointdem    &       0.028   \\
            &     (0.050)   \\
_cons       &       0.004   \\
            &     (0.006)   \\

.                         /* Obtain data for graph plot */
>                         gen b2_demA_Pre4  = _b[onedem];

.                         gen se2_lo_demA_Pre4 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Pre4 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Pre4  = _b[jointdem];

.                         gen se2_lo_2dem_Pre4 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Pre4 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y2_d`i' onedem jointdem if Pre5==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.33
       Model |  .008257171         2  .004128586   Prob > F        =    0.7180
    Residual |  4.52026411       363  .012452518   R-squared       =    0.0018
-------------+----------------------------------   Adj R-squared   =   -0.0037
       Total |  4.52852128       365  .012406908   Root MSE        =    .11159

------------------------------------------------------------------------------
ChgThre~2_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0198191   .0245511    -0.81   0.420    -.0680993    .0284612
    jointdem |   .0132398   .0552859     0.24   0.811     -.095481    .1219606
       _cons |   .0020031   .0060608     0.33   0.741    -.0099155    .0139218
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.49
       Model |  .014261664         2  .007130832   Prob > F        =    0.6154
    Residual |  5.32412398       363  .014667008   R-squared       =    0.0027
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |  5.33838564       365  .014625714   Root MSE        =    .12111

------------------------------------------------------------------------------
ChgThre~2_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.026103   .0266448    -0.98   0.328    -.0785006    .0262946
    jointdem |   .0306392   .0600007     0.51   0.610    -.0873534    .1486318
       _cons |   .0018464   .0065777     0.28   0.779    -.0110887    .0147815
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.32
       Model |   .00934506         2   .00467253   Prob > F        =    0.7246
    Residual |  5.25972619       363  .014489604   R-squared       =    0.0018
-------------+----------------------------------   Adj R-squared   =   -0.0037
       Total |  5.26907125       365  .014435812   Root MSE        =    .12037

------------------------------------------------------------------------------
ChgThre~2_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0212231   .0264832    -0.80   0.423    -.0733029    .0308567
    jointdem |   .0170924   .0596367     0.29   0.775    -.1001844    .1343693
       _cons |  -.0000382   .0065378    -0.01   0.995    -.0128949    .0128184
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.50
       Model |  .015131628         2  .007565814   Prob > F        =    0.6085
    Residual |  5.52060969       363  .015208291   R-squared       =    0.0027
-------------+----------------------------------   Adj R-squared   =   -0.0028
       Total |  5.53574132       365  .015166415   Root MSE        =    .12332

------------------------------------------------------------------------------
ChgThre~2_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0269965   .0271321    -1.00   0.320    -.0803522    .0263593
    jointdem |   .0214523   .0610978     0.35   0.726    -.0986978    .1416024
       _cons |    .002845   .0066979     0.42   0.671    -.0103266    .0160166
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.52
       Model |  .013898383         2  .006949191   Prob > F        =    0.5970
    Residual |  4.88387967       363  .013454214   R-squared       =    0.0028
-------------+----------------------------------   Adj R-squared   =   -0.0027
       Total |  4.89777805       365   .01341857   Root MSE        =    .11599

------------------------------------------------------------------------------
ChgThre~2_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0259138   .0255195    -1.02   0.311    -.0760983    .0242708
    jointdem |   .0220735   .0574665     0.38   0.701    -.0909355    .1350825
       _cons |    .004171   .0062998     0.66   0.508    -.0082178    .0165597
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.38
       Model |  .011832443         2  .005916221   Prob > F        =    0.6832
    Residual |  5.63049436       363  .015511004   R-squared       =    0.0021
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |   5.6423268       365   .01545843   Root MSE        =    .12454

------------------------------------------------------------------------------
ChgThre~2_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0238025   .0274007    -0.87   0.386    -.0776866    .0300817
    jointdem |   .0172618   .0617029     0.28   0.780    -.1040782    .1386018
       _cons |   .0062354   .0067643     0.92   0.357    -.0070666    .0195375
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.81
       Model |  .023462968         2  .011731484   Prob > F        =    0.4443
    Residual |  5.23800742       363  .014429773   R-squared       =    0.0045
-------------+----------------------------------   Adj R-squared   =   -0.0010
       Total |  5.26147039       365  .014414987   Root MSE        =    .12012

------------------------------------------------------------------------------
ChgThre~2_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0331497   .0264285    -1.25   0.211    -.0851218    .0188225
    jointdem |   .0187116   .0595135     0.31   0.753    -.0983229    .1357461
       _cons |   .0057844   .0065242     0.89   0.376    -.0070457    .0186144
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.34
       Model |   .00928144         2   .00464072   Prob > F        =    0.7120
    Residual |  4.95400224       363  .013647389   R-squared       =    0.0019
-------------+----------------------------------   Adj R-squared   =   -0.0036
       Total |  4.96328368       365  .013598037   Root MSE        =    .11682

------------------------------------------------------------------------------
ChgThre~2_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0210289    .025702    -0.82   0.414    -.0715725    .0295146
    jointdem |   .0143146   .0578776     0.25   0.805    -.0995028     .128132
       _cons |   .0022723   .0063449     0.36   0.720    -.0102051    .0147496
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.62
       Model |  .017826118         2  .008913059   Prob > F        =    0.5382
    Residual |  5.21402623       363  .014363709   R-squared       =    0.0034
-------------+----------------------------------   Adj R-squared   =   -0.0021
       Total |  5.23185235       365  .014333842   Root MSE        =    .11985

------------------------------------------------------------------------------
ChgThre~2_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0293599   .0263679    -1.11   0.266    -.0812129    .0224932
    jointdem |   .0294704   .0593771     0.50   0.620    -.0872958    .1462367
       _cons |   .0024155   .0065093     0.37   0.711    -.0103851    .0152162
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       366
-------------+----------------------------------   F(2, 363)       =      0.50
       Model |  .016828368         2  .008414184   Prob > F        =    0.6052
    Residual |  6.07443376       363  .016733977   R-squared       =    0.0028
-------------+----------------------------------   Adj R-squared   =   -0.0027
       Total |  6.09126213       365  .016688389   Root MSE        =    .12936

------------------------------------------------------------------------------
ChgThr~2_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0285404   .0284605    -1.00   0.317    -.0845085    .0274277
    jointdem |   .0270407   .0640892     0.42   0.673    -.0989922    .1530735
       _cons |   .0050324   .0070259     0.72   0.474    -.0087841    .0188489
------------------------------------------------------------------------------
.
.                         rubin;

.                         /* Obtain data for graph plot */
>                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.024   \\
            &     (0.026)   \\
jointdem    &       0.021   \\
            &     (0.059)   \\
_cons       &       0.002   \\
            &     (0.007)   \\

.                         gen b2_demA_Pre5  = _b[onedem];

.                         gen se2_lo_demA_Pre5 = _b[onedem]-1.96*_se[onedem];

.                         gen se2_hi_demA_Pre5 = _b[onedem]+1.96*_se[onedem];

.                         gen b2_2dem_Pre5  = _b[jointdem];

.                         gen se2_lo_2dem_Pre5 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se2_hi_2dem_Pre5 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Generate placement for graph */
>                         gen Chg2_pre5=1;

.                         gen Chg2_pre4=2;

.                         gen Chg2_pre3=3;

.                         gen Chg2_pre2=4;

.                         gen Chg2_pre1=5;

.                         gen Chg2_post0=6;

.                         gen Chg2_post1=7;

.                         gen Chg2_post2=8;

.                         gen Chg2_post3=9;

.                         gen Chg2_post4=10;

.                         gen Chg2_post5=11;

.                 /*Analyze Threat t-1 for each value for 5 years pre- and post-intervention */
>                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Post5==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.84
       Model |   .00779338         2   .00389669   Prob > F        =    0.4330
    Residual |  1.65354358       356  .004644785   R-squared       =    0.0047
-------------+----------------------------------   Adj R-squared   =   -0.0009
       Total |  1.66133696       358  .004640606   Root MSE        =    .06815

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0103907   .0081974    -1.27   0.206    -.0265121    .0057306
    jointdem |   .0040279   .0128485     0.31   0.754    -.0212406    .0292965
       _cons |   .0015522   .0046053     0.34   0.736    -.0075049    .0106093
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.87
       Model |  .008625962         2  .004312981   Prob > F        =    0.4209
    Residual |  1.77021184       356  .004972505   R-squared       =    0.0048
-------------+----------------------------------   Adj R-squared   =   -0.0007
       Total |   1.7788378       358  .004968821   Root MSE        =    .07052

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0109433   .0084816    -1.29   0.198    -.0276237    .0057371
    jointdem |   .0043242   .0132941     0.33   0.745    -.0218206     .030469
       _cons |   .0018079    .004765     0.38   0.705    -.0075632    .0111791
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.83
       Model |  .008405053         2  .004202526   Prob > F        =    0.4374
    Residual |  1.80516461       356  .005070687   R-squared       =    0.0046
-------------+----------------------------------   Adj R-squared   =   -0.0010
       Total |  1.81356967       358  .005065837   Root MSE        =    .07121

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0108294    .008565    -1.26   0.207    -.0276737    .0060149
    jointdem |   .0044799   .0134247     0.33   0.739    -.0219218    .0308815
       _cons |   .0009023   .0048118     0.19   0.851    -.0085609    .0103655
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.65
       Model |  .006911559         2   .00345578   Prob > F        =    0.5210
    Residual |  1.88325779       356   .00529005   R-squared       =    0.0037
-------------+----------------------------------   Adj R-squared   =   -0.0019
       Total |  1.89016935       358  .005279803   Root MSE        =    .07273

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0095877   .0087483    -1.10   0.274    -.0267925    .0076171
    jointdem |   .0025565    .013712     0.19   0.852    -.0244102    .0295232
       _cons |   .0018044   .0049148     0.37   0.714    -.0078613    .0114702
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.88
       Model |  .008919117         2  .004459559   Prob > F        =    0.4155
    Residual |  1.80315578       356  .005065044   R-squared       =    0.0049
-------------+----------------------------------   Adj R-squared   =   -0.0007
       Total |  1.81207489       358  .005061662   Root MSE        =    .07117

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0106608   .0085602    -1.25   0.214    -.0274957    .0061741
    jointdem |   .0017657   .0134172     0.13   0.895    -.0246212    .0281527
       _cons |    .001684   .0048092     0.35   0.726    -.0077739     .011142
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.95
       Model |  .011033885         2  .005516942   Prob > F        =    0.3889
    Residual |  2.07430917       356  .005826711   R-squared       =    0.0053
-------------+----------------------------------   Adj R-squared   =   -0.0003
       Total |  2.08534306       358  .005824981   Root MSE        =    .07633

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0118258   .0091813    -1.29   0.199    -.0298822    .0062305
    jointdem |   .0018222   .0143907     0.13   0.899    -.0264794    .0301237
       _cons |   .0032638   .0051581     0.63   0.527    -.0068804     .013408
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.70
       Model |  .007382624         2  .003691312   Prob > F        =    0.4980
    Residual |  1.88140133       356  .005284835   R-squared       =    0.0039
-------------+----------------------------------   Adj R-squared   =   -0.0017
       Total |  1.88878395       358  .005275933   Root MSE        =     .0727

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0095534    .008744    -1.09   0.275    -.0267497    .0076429
    jointdem |   .0009797   .0137052     0.07   0.943    -.0259737    .0279331
       _cons |   .0026715   .0049124     0.54   0.587    -.0069894    .0123325
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.95
       Model |  .009657418         2  .004828709   Prob > F        =    0.3889
    Residual |  1.81545276       356  .005099586   R-squared       =    0.0053
-------------+----------------------------------   Adj R-squared   =   -0.0003
       Total |  1.82511018       358  .005098073   Root MSE        =    .07141

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0113697   .0085893    -1.32   0.186    -.0282619    .0055225
    jointdem |   .0032237   .0134629     0.24   0.811    -.0232532    .0297005
       _cons |    .001945   .0048255     0.40   0.687    -.0075451    .0114351
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.65
       Model |  .006160846         2  .003080423   Prob > F        =    0.5239
    Residual |  1.69325299       356  .004756329   R-squared       =    0.0036
-------------+----------------------------------   Adj R-squared   =   -0.0020
       Total |  1.69941384       358  .004746966   Root MSE        =    .06897

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0092202   .0082952    -1.11   0.267    -.0255341    .0070936
    jointdem |   .0034489   .0130019     0.27   0.791    -.0221213    .0290191
       _cons |   .0019476   .0046603     0.42   0.676    -.0072176    .0111127
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       359
-------------+----------------------------------   F(2, 356)       =      0.71
       Model |  .008144283         2  .004072141   Prob > F        =    0.4919
    Residual |  2.03932983       356  .005728455   R-squared       =    0.0040
-------------+----------------------------------   Adj R-squared   =   -0.0016
       Total |  2.04747411       358  .005719201   Root MSE        =    .07569

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.010406   .0091036    -1.14   0.254    -.0283095    .0074975
    jointdem |   .0027664   .0142689     0.19   0.846    -.0252955    .0308283
       _cons |   .0020641   .0051144     0.40   0.687    -.0079941    .0121224
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.010   \\
            &     (0.009)   \\
jointdem    &       0.003   \\
            &     (0.013)   \\
_cons       &       0.002   \\
            &     (0.005)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Post5  = _b[onedem];

.                         gen se1_lo_demA_Post5 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Post5 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Post5  = _b[jointdem];

.                         gen se1_lo_2dem_Post5 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Post5 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Post4==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.29
       Model |  .010002401         2    .0050012   Prob > F        =    0.2759
    Residual |  1.45511426       376  .003869985   R-squared       =    0.0068
-------------+----------------------------------   Adj R-squared   =    0.0015
       Total |  1.46511666       378   .00387597   Root MSE        =    .06221

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0118829   .0074017    -1.61   0.109    -.0264367     .002671
    jointdem |   .0074555   .0113277     0.66   0.511     -.014818    .0297291
       _cons |   .0020276   .0040581     0.50   0.618    -.0059518     .010007
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.29
       Model |   .01135256         2   .00567628   Prob > F        =    0.2761
    Residual |  1.65268066       376  .004395427   R-squared       =    0.0068
-------------+----------------------------------   Adj R-squared   =    0.0015
       Total |  1.66403322       378  .004402204   Root MSE        =     .0663

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0126753   .0078882    -1.61   0.109    -.0281857    .0028352
    jointdem |   .0085662   .0120722     0.71   0.478    -.0151713    .0323037
       _cons |   .0036629   .0043248     0.85   0.398     -.004841    .0121667
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.11
       Model |  .009635105         2  .004817553   Prob > F        =    0.3297
    Residual |  1.62768031       376  .004328937   R-squared       =    0.0059
-------------+----------------------------------   Adj R-squared   =    0.0006
       Total |  1.63731541       378  .004331522   Root MSE        =    .06579

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0116426   .0078283    -1.49   0.138    -.0270353      .00375
    jointdem |   .0093955   .0119806     0.78   0.433    -.0141618    .0329527
       _cons |   .0008213    .004292     0.19   0.848     -.007618    .0092606
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.26
       Model |  .011239018         2  .005619509   Prob > F        =    0.2838
    Residual |   1.6721512       376  .004447211   R-squared       =    0.0067
-------------+----------------------------------   Adj R-squared   =    0.0014
       Total |  1.68339022       378  .004453413   Root MSE        =    .06669

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0126052   .0079345    -1.59   0.113    -.0282068    .0029963
    jointdem |   .0081903   .0121431     0.67   0.500    -.0156866    .0320672
       _cons |   .0032238   .0043502     0.74   0.459      -.00533    .0117776
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.23
       Model |  .010564741         2   .00528237   Prob > F        =    0.2925
    Residual |  1.61029847       376  .004282709   R-squared       =    0.0065
-------------+----------------------------------   Adj R-squared   =    0.0012
       Total |  1.62086322       378  .004287998   Root MSE        =    .06544

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0122141   .0077864    -1.57   0.118    -.0275243    .0030962
    jointdem |   .0093749   .0119164     0.79   0.432    -.0140563    .0328061
       _cons |   .0029479    .004269     0.69   0.490    -.0054462     .011342
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.59
       Model |   .01572238         2   .00786119   Prob > F        =    0.2050
    Residual |  1.85710747       376  .004939116   R-squared       =    0.0084
-------------+----------------------------------   Adj R-squared   =    0.0031
       Total |  1.87282985       378  .004954576   Root MSE        =    .07028

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0148801   .0083618    -1.78   0.076    -.0313219    .0015616
    jointdem |   .0089454   .0127971     0.70   0.485    -.0162174    .0341082
       _cons |   .0047489   .0045845     1.04   0.301    -.0042656    .0137633
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.54
       Model |  .014157243         2  .007078621   Prob > F        =    0.2166
    Residual |  1.73281812       376  .004608559   R-squared       =    0.0081
-------------+----------------------------------   Adj R-squared   =    0.0028
       Total |  1.74697537       378  .004621628   Root MSE        =    .06789

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0140817   .0080771    -1.74   0.082    -.0299637    .0018003
    jointdem |   .0078669   .0123614     0.64   0.525    -.0164393    .0321731
       _cons |    .005031   .0044284     1.14   0.257    -.0036766    .0137386
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.31
       Model |  .011089759         2  .005544879   Prob > F        =    0.2724
    Residual |  1.59745674       376  .004248555   R-squared       =    0.0069
-------------+----------------------------------   Adj R-squared   =    0.0016
       Total |   1.6085465       378  .004255414   Root MSE        =    .06518

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0125216   .0077552    -1.61   0.107    -.0277706    .0027275
    jointdem |   .0093675   .0118688     0.79   0.430    -.0139701     .032705
       _cons |   .0019848   .0042519     0.47   0.641    -.0063758    .0103453
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.15
       Model |  .009662184         2  .004831092   Prob > F        =    0.3164
    Residual |  1.57360403       376  .004185117   R-squared       =    0.0061
-------------+----------------------------------   Adj R-squared   =    0.0008
       Total |  1.58326621       378  .004188535   Root MSE        =    .06469

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0116399   .0076971    -1.51   0.131    -.0267747     .003495
    jointdem |   .0065921   .0117799     0.56   0.576    -.0165706    .0297548
       _cons |   .0043075   .0042201     1.02   0.308    -.0039904    .0126054
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       379
-------------+----------------------------------   F(2, 376)       =      1.27
       Model |  .012818063         2  .006409032   Prob > F        =    0.2807
    Residual |  1.89054975       376  .005028058   R-squared       =    0.0067
-------------+----------------------------------   Adj R-squared   =    0.0015
       Total |  1.90336781       378  .005035365   Root MSE        =    .07091

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0134493   .0084367    -1.59   0.112    -.0300385    .0031398
    jointdem |   .0083774   .0129118     0.65   0.517    -.0170109    .0337658
       _cons |   .0049473   .0046256     1.07   0.286    -.0041479    .0140426
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.012   \\
            &     (0.008)   \\
jointdem    &       0.009   \\
            &     (0.012)   \\
_cons       &       0.003   \\
            &     (0.004)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Post4  = _b[onedem];

.                         gen se1_lo_demA_Post4 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Post4 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Post4  = _b[jointdem];

.                         gen se1_lo_2dem_Post4 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Post4 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Post3==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.83
       Model |   .00675053         2  .003375265   Prob > F        =    0.4351
    Residual |   1.5623516       386  .004047543   R-squared       =    0.0043
-------------+----------------------------------   Adj R-squared   =   -0.0009
       Total |  1.56910213       388  .004044078   Root MSE        =    .06362

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0019048   .0074002     0.26   0.797     -.012645    .0164545
    jointdem |  -.0143345   .0114872    -1.25   0.213    -.0369198    .0082509
       _cons |   .0002949   .0041153     0.07   0.943    -.0077962    .0083861
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.61
       Model |  .005716957         2  .002858479   Prob > F        =    0.5422
    Residual |  1.79954111       386  .004662024   R-squared       =    0.0032
-------------+----------------------------------   Adj R-squared   =   -0.0020
       Total |  1.80525807       388  .004652727   Root MSE        =    .06828

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .000283   .0079421     0.04   0.972    -.0153322    .0158981
    jointdem |  -.0124152   .0123284    -1.01   0.315    -.0366544    .0118241
       _cons |    .001821   .0044166     0.41   0.680    -.0068627    .0105046
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.70
       Model |  .006693511         2  .003346755   Prob > F        =    0.4962
    Residual |  1.83985891       386  .004766474   R-squared       =    0.0036
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  1.84655242       388  .004759156   Root MSE        =    .06904

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0024557   .0080306     0.31   0.760    -.0133334    .0182448
    jointdem |  -.0144773   .0124657    -1.16   0.246    -.0389866    .0100319
       _cons |  -.0002193   .0044658    -0.05   0.961    -.0089997     .008561
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.59
       Model |  .005795801         2  .002897901   Prob > F        =    0.5552
    Residual |  1.89832852       386   .00491795   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0021
       Total |  1.90412432       388  .004907537   Root MSE        =    .07013

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0011118   .0081572     0.14   0.892    -.0149262    .0171499
    jointdem |  -.0129806   .0126623    -1.03   0.306    -.0378763     .011915
       _cons |   .0006751   .0045362     0.15   0.882    -.0082437    .0095939
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.57
       Model |  .005273952         2  .002636976   Prob > F        =    0.5643
    Residual |  1.77642494       386  .004602137   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0022
       Total |  1.78169889       388  .004592007   Root MSE        =    .06784

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0030092   .0078909     0.38   0.703    -.0125053    .0185238
    jointdem |   -.013051    .012249    -1.07   0.287    -.0371341     .011032
       _cons |   -.000328   .0043881    -0.07   0.940    -.0089557    .0082997
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.61
       Model |  .006080067         2  .003040033   Prob > F        =    0.5464
    Residual |  1.93844912       386  .005021889   R-squared       =    0.0031
-------------+----------------------------------   Adj R-squared   =   -0.0020
       Total |  1.94452919       388  .005011673   Root MSE        =    .07087

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0004499   .0082429     0.05   0.957    -.0157568    .0166565
    jointdem |  -.0129035   .0127954    -1.01   0.314    -.0380609    .0122538
       _cons |   .0018715   .0045839     0.41   0.683    -.0071411     .010884
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.66
       Model |  .006442698         2  .003221349   Prob > F        =    0.5175
    Residual |  1.88455897       386  .004882277   R-squared       =    0.0034
-------------+----------------------------------   Adj R-squared   =   -0.0018
       Total |  1.89100167       388  .004873716   Root MSE        =    .06987

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0000586   .0081275     0.01   0.994    -.0159212    .0160384
    jointdem |  -.0130191   .0126163    -1.03   0.303    -.0378243    .0117861
       _cons |   .0016394   .0045197     0.36   0.717    -.0072469    .0105258
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.66
       Model |  .005973896         2  .002986948   Prob > F        =    0.5192
    Residual |  1.75609025       386  .004549457   R-squared       =    0.0034
-------------+----------------------------------   Adj R-squared   =   -0.0018
       Total |  1.76206414       388  .004541402   Root MSE        =    .06745

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0020953   .0078456     0.27   0.790    -.0133302    .0175208
    jointdem |  -.0136009   .0121787    -1.12   0.265    -.0375457    .0103439
       _cons |   .0000234    .004363     0.01   0.996    -.0085548    .0086015
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.60
       Model |  .005391913         2  .002695956   Prob > F        =    0.5486
    Residual |  1.73046158       386  .004483061   R-squared       =    0.0031
-------------+----------------------------------   Adj R-squared   =   -0.0021
       Total |   1.7358535       388  .004473849   Root MSE        =    .06696

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0000171   .0077882    -0.00   0.998    -.0153297    .0152954
    jointdem |  -.0118615   .0120895    -0.98   0.327    -.0356309    .0119079
       _cons |   .0017295    .004331     0.40   0.690    -.0067858    .0102448
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       389
-------------+----------------------------------   F(2, 386)       =      0.54
       Model |  .005778659         2   .00288933   Prob > F        =    0.5805
    Residual |  2.04745857       386  .005304297   R-squared       =    0.0028
-------------+----------------------------------   Adj R-squared   =   -0.0024
       Total |  2.05323723       388  .005291849   Root MSE        =    .07283

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .000989   .0084715     0.12   0.907    -.0156671     .017645
    jointdem |  -.0128978   .0131502    -0.98   0.327    -.0387529    .0129572
       _cons |     .00149    .004711     0.32   0.752    -.0077725    .0107525
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.002   \\
            &     (0.008)   \\
jointdem    &      -0.013   \\
            &     (0.012)   \\
_cons       &       0.000   \\
            &     (0.004)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Post3  = _b[onedem];

.                         gen se1_lo_demA_Post3 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Post3 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Post3  = _b[jointdem];

.                         gen se1_lo_2dem_Post3 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Post3 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Post2==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      1.05
       Model |  .011057698         2  .005528849   Prob > F        =    0.3522
    Residual |  2.18775163       414  .005284424   R-squared       =    0.0050
-------------+----------------------------------   Adj R-squared   =    0.0002
       Total |  2.19880933       416  .005285599   Root MSE        =    .07269

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0110893   .0080453    -1.38   0.169     -.026904    .0047253
    jointdem |   .0024469   .0126927     0.19   0.847    -.0225032    .0273971
       _cons |   .0060717   .0045884     1.32   0.186    -.0029478    .0150912
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.54
       Model |  .005780676         2  .002890338   Prob > F        =    0.5832
    Residual |  2.21627964       414  .005353332   R-squared       =    0.0026
-------------+----------------------------------   Adj R-squared   =   -0.0022
       Total |  2.22206031       416  .005341491   Root MSE        =    .07317

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0076459   .0080976    -0.94   0.346    -.0235633    .0082716
    jointdem |   .0001482   .0127752     0.01   0.991    -.0249641    .0252605
       _cons |   .0047183   .0046182     1.02   0.308    -.0043598    .0137964
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.83
       Model |  .010517047         2  .005258524   Prob > F        =    0.4381
    Residual |  2.63277294       414  .006359355   R-squared       =    0.0040
-------------+----------------------------------   Adj R-squared   =   -0.0008
       Total |  2.64328999       416  .006354062   Root MSE        =    .07975

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0105544   .0088257    -1.20   0.232    -.0279031    .0067944
    jointdem |   .0011686   .0139239     0.08   0.933    -.0262018     .028539
       _cons |   .0065642   .0050335     1.30   0.193    -.0033302    .0164586
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.92
       Model |  .010855921         2   .00542796   Prob > F        =    0.3984
    Residual |  2.43628857       414  .005884755   R-squared       =    0.0044
-------------+----------------------------------   Adj R-squared   =   -0.0004
       Total |  2.44714449       416  .005882559   Root MSE        =    .07671

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0107973     .00849    -1.27   0.204    -.0274862    .0058915
    jointdem |   .0015125   .0133943     0.11   0.910    -.0248168    .0278417
       _cons |   .0069537    .004842     1.44   0.152    -.0025643    .0164717
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.55
       Model |   .00573525         2  .002867625   Prob > F        =    0.5797
    Residual |  2.17468823       414   .00525287   R-squared       =    0.0026
-------------+----------------------------------   Adj R-squared   =   -0.0022
       Total |  2.18042348       416  .005241403   Root MSE        =    .07248

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0079176   .0080212    -0.99   0.324    -.0236849    .0078498
    jointdem |   .0014209   .0126547     0.11   0.911    -.0234546    .0262965
       _cons |   .0060323   .0045747     1.32   0.188    -.0029602    .0150248
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.78
       Model |  .008337989         2  .004168994   Prob > F        =    0.4613
    Residual |  2.22656214       414  .005378169   R-squared       =    0.0037
-------------+----------------------------------   Adj R-squared   =   -0.0011
       Total |  2.23490013       416  .005372356   Root MSE        =    .07334

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0098446   .0081163    -1.21   0.226     -.025799    .0061097
    jointdem |    .003387   .0128048     0.26   0.792    -.0217835    .0285575
       _cons |   .0057825   .0046289     1.25   0.212    -.0033167    .0148816
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.82
       Model |  .008546762         2  .004273381   Prob > F        =    0.4391
    Residual |   2.1450637       414  .005181313   R-squared       =    0.0040
-------------+----------------------------------   Adj R-squared   =   -0.0008
       Total |  2.15361046       416  .005176948   Root MSE        =    .07198

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0096466   .0079664    -1.21   0.227    -.0253062    .0060131
    jointdem |   .0016456   .0125683     0.13   0.896    -.0230599    .0263512
       _cons |   .0069291   .0045434     1.53   0.128     -.002002    .0158601
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.81
       Model |  .009180144         2  .004590072   Prob > F        =    0.4459
    Residual |  2.34840614       414  .005672479   R-squared       =    0.0039
-------------+----------------------------------   Adj R-squared   =   -0.0009
       Total |  2.35758628       416  .005667275   Root MSE        =    .07532

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.010109   .0083354    -1.21   0.226     -.026494    .0062761
    jointdem |   .0022546   .0131505     0.17   0.864    -.0235955    .0281046
       _cons |    .006318   .0047539     1.33   0.185    -.0030268    .0156628
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.64
       Model |  .006615362         2  .003307681   Prob > F        =    0.5265
    Residual |  2.13102149       414  .005147395   R-squared       =    0.0031
-------------+----------------------------------   Adj R-squared   =   -0.0017
       Total |  2.13763685       416   .00513855   Root MSE        =    .07175

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0079588   .0079403    -1.00   0.317    -.0235671    .0076495
    jointdem |  -.0006275   .0125271    -0.05   0.960     -.025252    .0239971
       _cons |   .0055618   .0045285     1.23   0.220      -.00334    .0144636
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       417
-------------+----------------------------------   F(2, 414)       =      0.65
       Model |  .007534659         2  .003767329   Prob > F        =    0.5217
    Residual |  2.39356144       414  .005781549   R-squared       =    0.0031
-------------+----------------------------------   Adj R-squared   =   -0.0017
       Total |   2.4010961       416  .005771866   Root MSE        =    .07604

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0089163   .0084152    -1.06   0.290    -.0254581    .0076255
    jointdem |   .0009164   .0132763     0.07   0.945     -.025181    .0270138
       _cons |   .0061167   .0047994     1.27   0.203    -.0033174    .0155509
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.010   \\
            &     (0.009)   \\
jointdem    &       0.001   \\
            &     (0.013)   \\
_cons       &       0.006   \\
            &     (0.005)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Post2  = _b[onedem];

.                         gen se1_lo_demA_Post2 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Post2 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Post2  = _b[jointdem];

.                         gen se1_lo_2dem_Post2 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Post2 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Post1==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.46
       Model |  .053420241         2  .026710121   Prob > F        =    0.0321
    Residual |  3.41497055       443  .007708737   R-squared       =    0.0154
-------------+----------------------------------   Adj R-squared   =    0.0110
       Total |  3.46839079       445  .007794137   Root MSE        =     .0878

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0235373   .0093945    -2.51   0.013    -.0420006    -.005074
    jointdem |   .0046826   .0154757     0.30   0.762    -.0257323    .0350975
       _cons |   .0141692   .0052945     2.68   0.008     .0037638    .0245747
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.81
       Model |  .069311335         2  .034655668   Prob > F        =    0.0228
    Residual |  4.02630539       443  .009088725   R-squared       =    0.0169
-------------+----------------------------------   Adj R-squared   =    0.0125
       Total |  4.09561673       445  .009203633   Root MSE        =    .09533

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0261051   .0102008    -2.56   0.011     -.046153   -.0060572
    jointdem |    .001942   .0168039     0.12   0.908    -.0310833    .0349673
       _cons |   .0171766   .0057489     2.99   0.003     .0058781    .0284751
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.21
       Model |  .050901559         2  .025450779   Prob > F        =    0.0413
    Residual |  3.51187418       443  .007927481   R-squared       =    0.0143
-------------+----------------------------------   Adj R-squared   =    0.0098
       Total |  3.56277574       445  .008006238   Root MSE        =    .08904

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0228979   .0095268    -2.40   0.017    -.0416214   -.0041745
    jointdem |   .0041624   .0156937     0.27   0.791     -.026681    .0350059
       _cons |   .0135394   .0053691     2.52   0.012     .0029873    .0240914
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.16
       Model |   .05920635         2  .029603175   Prob > F        =    0.0433
    Residual |  4.14644488       443  .009359921   R-squared       =    0.0141
-------------+----------------------------------   Adj R-squared   =    0.0096
       Total |  4.20565123       445  .009450902   Root MSE        =    .09675

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0246436   .0103518    -2.38   0.018    -.0449884   -.0042988
    jointdem |   .0042239   .0170528     0.25   0.804    -.0292904    .0377383
       _cons |   .0154872    .005834     2.65   0.008     .0040214    .0269531
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.48
       Model |  .055611905         2  .027805952   Prob > F        =    0.0316
    Residual |  3.53884646       443  .007988367   R-squared       =    0.0155
-------------+----------------------------------   Adj R-squared   =    0.0110
       Total |  3.59445836       445  .008077435   Root MSE        =    .08938

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0239394   .0095634    -2.50   0.013    -.0427346   -.0051442
    jointdem |   .0043787   .0157539     0.28   0.781    -.0265829    .0353404
       _cons |   .0152357   .0053897     2.83   0.005     .0046432    .0258282
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.12
       Model |  .065476913         2  .032738456   Prob > F        =    0.0452
    Residual |  4.65138739       443  .010499746   R-squared       =    0.0139
-------------+----------------------------------   Adj R-squared   =    0.0094
       Total |   4.7168643       445  .010599695   Root MSE        =    .10247

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0261516    .010964    -2.39   0.017    -.0476996   -.0046036
    jointdem |   .0056897   .0180613     0.32   0.753    -.0298067    .0411861
       _cons |   .0165715   .0061791     2.68   0.008     .0044276    .0287155
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.43
       Model |  .065265686         2  .032632843   Prob > F        =    0.0334
    Residual |  4.21979708       443  .009525501   R-squared       =    0.0152
-------------+----------------------------------   Adj R-squared   =    0.0108
       Total |  4.28506276       445  .009629355   Root MSE        =     .0976

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0259339    .010443    -2.48   0.013    -.0464578   -.0054099
    jointdem |   .0047423   .0172029     0.28   0.783    -.0290672    .0385518
       _cons |   .0165405   .0058854     2.81   0.005     .0049736    .0281073
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.02
       Model |  .048833552         2  .024416776   Prob > F        =    0.0497
    Residual |   3.5790366       443  .008079089   R-squared       =    0.0135
-------------+----------------------------------   Adj R-squared   =    0.0090
       Total |  3.62787016       445  .008152517   Root MSE        =    .08988

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0226164   .0096175    -2.35   0.019     -.041518   -.0037148
    jointdem |   .0050901   .0158431     0.32   0.748    -.0260468    .0362271
       _cons |   .0137379   .0054202     2.53   0.012     .0030854    .0243904
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.44
       Model |  .061902884         2  .030951442   Prob > F        =    0.0329
    Residual |   3.9848479       443  .008995142   R-squared       =    0.0153
-------------+----------------------------------   Adj R-squared   =    0.0109
       Total |  4.04675079       445  .009093822   Root MSE        =    .09484

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0245049   .0101481    -2.41   0.016    -.0444493   -.0045605
    jointdem |   .0011238   .0167172     0.07   0.946     -.031731    .0339787
       _cons |   .0170368   .0057192     2.98   0.003     .0057966     .028277
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       446
-------------+----------------------------------   F(2, 443)       =      3.42
       Model |  .073374361         2   .03668718   Prob > F        =    0.0337
    Residual |  4.75778986       443  .010739932   R-squared       =    0.0152
-------------+----------------------------------   Adj R-squared   =    0.0107
       Total |  4.83116422       445  .010856549   Root MSE        =    .10363

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0271596   .0110887    -2.45   0.015    -.0489527   -.0053666
    jointdem |   .0033604   .0182667     0.18   0.854    -.0325397    .0392605
       _cons |   .0184039   .0062493     2.94   0.003     .0061218    .0306859
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.024** \\
            &     (0.010)   \\
jointdem    &       0.004   \\
            &     (0.016)   \\
_cons       &       0.015***\\
            &     (0.006)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Post1  = _b[onedem];

.                         gen se1_lo_demA_Post1 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Post1 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Post1  = _b[jointdem];

.                         gen se1_lo_2dem_Post1 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Post1 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Intervention==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.04
       Model |  .011165701         2   .00558285   Prob > F        =    0.3528
    Residual |  2.40564165       450   .00534587   R-squared       =    0.0046
-------------+----------------------------------   Adj R-squared   =    0.0002
       Total |  2.41680735       452  .005346919   Root MSE        =    .07312

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0039666   .0076321    -0.52   0.604    -.0189656    .0110323
    jointdem |  -.0135085   .0130048    -1.04   0.299    -.0390663    .0120492
       _cons |   .0025014   .0044171     0.57   0.571    -.0061793     .011182
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.33
       Model |  .014729542         2  .007364771   Prob > F        =    0.2660
    Residual |  2.49513974       450  .005544755   R-squared       =    0.0059
-------------+----------------------------------   Adj R-squared   =    0.0015
       Total |  2.50986928       452  .005552808   Root MSE        =    .07446

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0065437   .0077728    -0.84   0.400    -.0218191    .0087317
    jointdem |  -.0126663   .0132445    -0.96   0.339    -.0386951    .0133625
       _cons |   .0038051   .0044985     0.85   0.398    -.0050355    .0126458
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.27
       Model |  .015381771         2  .007690886   Prob > F        =    0.2830
    Residual |  2.73428076       450  .006076179   R-squared       =    0.0056
-------------+----------------------------------   Adj R-squared   =    0.0012
       Total |  2.74966253       452  .006083324   Root MSE        =    .07795

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0057517   .0081367    -0.71   0.480    -.0217424     .010239
    jointdem |  -.0143704   .0138647    -1.04   0.301     -.041618    .0128772
       _cons |   .0035181   .0047091     0.75   0.455    -.0057365    .0127727
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.30
       Model |  .015642121         2  .007821061   Prob > F        =    0.2749
    Residual |  2.71737863       450  .006038619   R-squared       =    0.0057
-------------+----------------------------------   Adj R-squared   =    0.0013
       Total |  2.73302075       452  .006046506   Root MSE        =    .07771

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.006286   .0081115    -0.77   0.439    -.0222272    .0096552
    jointdem |  -.0137703   .0138218    -1.00   0.320    -.0409335     .013393
       _cons |   .0038476   .0046945     0.82   0.413    -.0053784    .0130735
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.77
       Model |  .017863204         2  .008931602   Prob > F        =    0.1724
    Residual |  2.27717281       450  .005060384   R-squared       =    0.0078
-------------+----------------------------------   Adj R-squared   =    0.0034
       Total |  2.29503601       452  .005077513   Root MSE        =    .07114

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0069517   .0074255    -0.94   0.350    -.0215447    .0076412
    jointdem |  -.0143532   .0126528    -1.13   0.257    -.0392191    .0105128
       _cons |   .0053138   .0042975     1.24   0.217    -.0031319    .0137594
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.41
       Model |  .016618559         2   .00830928   Prob > F        =    0.2461
    Residual |   2.6586965       450  .005908214   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0018
       Total |  2.67531506       452  .005918839   Root MSE        =    .07686

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0061423   .0080235    -0.77   0.444    -.0219104    .0096258
    jointdem |  -.0146983   .0136717    -1.08   0.283    -.0415666    .0121701
       _cons |   .0044138   .0046436     0.95   0.342    -.0047119    .0135396
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.18
       Model |  .013433514         2  .006716757   Prob > F        =    0.3095
    Residual |  2.57059032       450  .005712423   R-squared       =    0.0052
-------------+----------------------------------   Adj R-squared   =    0.0008
       Total |  2.58402384       452  .005716867   Root MSE        =    .07558

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0047275   .0078894    -0.60   0.549    -.0202321    .0107772
    jointdem |  -.0143273   .0134433    -1.07   0.287    -.0407467    .0120921
       _cons |   .0024564    .004566     0.54   0.591     -.006517    .0114297
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.41
       Model |  .015684433         2  .007842217   Prob > F        =    0.2457
    Residual |    2.506457       450  .005569904   R-squared       =    0.0062
-------------+----------------------------------   Adj R-squared   =    0.0018
       Total |  2.52214143       452  .005579959   Root MSE        =    .07463

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0059082   .0077904    -0.76   0.449    -.0212182    .0094018
    jointdem |  -.0143657   .0132745    -1.08   0.280    -.0404534    .0117221
       _cons |     .00407   .0045087     0.90   0.367    -.0047906    .0129307
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.11
       Model |  .011842777         2  .005921388   Prob > F        =    0.3302
    Residual |   2.3988816       450  .005330848   R-squared       =    0.0049
-------------+----------------------------------   Adj R-squared   =    0.0005
       Total |  2.41072438       452  .005333461   Root MSE        =    .07301

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0066289   .0076214    -0.87   0.385    -.0216068    .0083489
    jointdem |  -.0100635   .0129865    -0.77   0.439    -.0355852    .0154583
       _cons |   .0030187   .0044109     0.68   0.494    -.0056497    .0116871
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       453
-------------+----------------------------------   F(2, 450)       =      1.58
       Model |  .019164006         2  .009582003   Prob > F        =    0.2081
    Residual |  2.73752855       450  .006083397   R-squared       =    0.0070
-------------+----------------------------------   Adj R-squared   =    0.0025
       Total |  2.75669256       452  .006098877   Root MSE        =      .078

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0083676   .0081415    -1.03   0.305    -.0243677    .0076326
    jointdem |  -.0129177   .0138729    -0.93   0.352    -.0401815    .0143461
       _cons |   .0050299   .0047119     1.07   0.286    -.0042302      .01429
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.006   \\
            &     (0.008)   \\
jointdem    &      -0.014   \\
            &     (0.013)   \\
_cons       &       0.004   \\
            &     (0.005)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Post0  = _b[onedem];

.                         gen se1_lo_demA_Post0 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Post0 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Post0  = _b[jointdem];

.                         gen se1_lo_2dem_Post0 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Post0 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Pre1==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.32
       Model |  .004669659         2   .00233483   Prob > F        =    0.7256
    Residual |  3.03363588       417  .007274906   R-squared       =    0.0015
-------------+----------------------------------   Adj R-squared   =   -0.0033
       Total |  3.03830553       419  .007251326   Root MSE        =    .08529

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0137083   .0191058     0.72   0.473    -.0238473    .0512639
    jointdem |  -.0238636   .0354371    -0.67   0.501    -.0935212     .045794
       _cons |   -.004597   .0043135    -1.07   0.287    -.0130758    .0038818
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.13
       Model |   .00199909         2  .000999545   Prob > F        =    0.8782
    Residual |   3.2078957       417  .007692795   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0042
       Total |  3.20989479       419  .007660847   Root MSE        =    .08771

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .007452   .0196468     0.38   0.705    -.0311671    .0460712
    jointdem |  -.0177356   .0364407    -0.49   0.627    -.0893659    .0538947
       _cons |  -.0034744   .0044356    -0.78   0.434    -.0121933    .0052446
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.25
       Model |  .004099117         2  .002049558   Prob > F        =    0.7787
    Residual |  3.41549967       417  .008190647   R-squared       =    0.0012
-------------+----------------------------------   Adj R-squared   =   -0.0036
       Total |  3.41959879       419  .008161334   Root MSE        =     .0905

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0127045   .0202726     0.63   0.531    -.0271448    .0525537
    jointdem |  -.0226608   .0376014    -0.60   0.547    -.0965727     .051251
       _cons |  -.0046367   .0045769    -1.01   0.312    -.0136334    .0043599
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.21
       Model |  .003374314         2  .001687157   Prob > F        =    0.8142
    Residual |  3.42049264       417   .00820262   R-squared       =    0.0010
-------------+----------------------------------   Adj R-squared   =   -0.0038
       Total |  3.42386695       419   .00817152   Root MSE        =    .09057

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0111941   .0202874     0.55   0.581    -.0286843    .0510724
    jointdem |  -.0211948   .0376288    -0.56   0.574    -.0951606     .052771
       _cons |  -.0042673   .0045802    -0.93   0.352    -.0132705    .0047359
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.31
       Model |  .004436174         2  .002218087   Prob > F        =    0.7341
    Residual |   2.9904505       417  .007171344   R-squared       =    0.0015
-------------+----------------------------------   Adj R-squared   =   -0.0033
       Total |  2.99488668       419  .007147701   Root MSE        =    .08468

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0138294   .0189693     0.73   0.466     -.023458    .0511167
    jointdem |   -.022046    .035184    -0.63   0.531     -.091206    .0471141
       _cons |  -.0048853   .0042826    -1.14   0.255    -.0133035     .003533
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.21
       Model |  .003567706         2  .001783853   Prob > F        =    0.8119
    Residual |  3.56773633       417  .008555723   R-squared       =    0.0010
-------------+----------------------------------   Adj R-squared   =   -0.0038
       Total |  3.57130404       419  .008523399   Root MSE        =     .0925

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0121569   .0207195     0.59   0.558    -.0285708    .0528845
    jointdem |  -.0204423   .0384302    -0.53   0.595    -.0959833    .0550988
       _cons |  -.0058223   .0046778    -1.24   0.214    -.0150173    .0033727
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.20
       Model |  .003236195         2  .001618098   Prob > F        =    0.8207
    Residual |  3.41270382       417  .008183942   R-squared       =    0.0009
-------------+----------------------------------   Adj R-squared   =   -0.0038
       Total |  3.41594001       419  .008152601   Root MSE        =    .09047

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0113389   .0202643     0.56   0.576     -.028494    .0511718
    jointdem |  -.0200272    .037586    -0.53   0.594    -.0939088    .0538543
       _cons |  -.0060356    .004575    -1.32   0.188    -.0150286    .0029574
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.28
       Model |  .004321204         2  .002160602   Prob > F        =    0.7541
    Residual |  3.19022869       417  .007650429   R-squared       =    0.0014
-------------+----------------------------------   Adj R-squared   =   -0.0034
       Total |  3.19454989       419  .007624224   Root MSE        =    .08747

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0134671   .0195927     0.69   0.492    -.0250456    .0519798
    jointdem |  -.0222703   .0363402    -0.61   0.540    -.0937031    .0491625
       _cons |  -.0051448   .0044234    -1.16   0.245    -.0138397    .0035501
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.14
       Model |  .002106095         2  .001053048   Prob > F        =    0.8660
    Residual |  3.04993019       417  .007313981   R-squared       =    0.0007
-------------+----------------------------------   Adj R-squared   =   -0.0041
       Total |  3.05203629       419  .007284096   Root MSE        =    .08552

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0076352    .019157     0.40   0.690    -.0300211    .0452915
    jointdem |  -.0182154   .0355321    -0.51   0.608    -.0880598    .0516291
       _cons |  -.0027601    .004325    -0.64   0.524    -.0112617    .0057414
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       420
-------------+----------------------------------   F(2, 417)       =      0.20
       Model |  .003394099         2   .00169705   Prob > F        =    0.8214
    Residual |  3.59465307       417  .008620271   R-squared       =    0.0009
-------------+----------------------------------   Adj R-squared   =   -0.0038
       Total |  3.59804717       419  .008587225   Root MSE        =    .09285

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0112311   .0207975     0.54   0.589    -.0296499    .0521121
    jointdem |  -.0212494   .0385749    -0.55   0.582    -.0970748    .0545761
       _cons |  -.0042728   .0046954    -0.91   0.363    -.0135024    .0049568
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.012   \\
            &     (0.020)   \\
jointdem    &      -0.022   \\
            &     (0.037)   \\
_cons       &      -0.004   \\
            &     (0.004)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Pre1  = _b[onedem];

.                         gen se1_lo_demA_Pre1 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Pre1 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Pre1  = _b[jointdem];

.                         gen se1_lo_2dem_Pre1 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Pre1 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Pre2==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.11
       Model |  .001504819         2   .00075241   Prob > F        =    0.8983
    Residual |  2.77021957       395  .007013214   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  2.77172439       397  .006981674   Root MSE        =    .08374

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .003722   .0202095     0.18   0.854    -.0360097    .0434537
    jointdem |  -.0171238    .037303    -0.46   0.646     -.090461    .0562133
       _cons |  -.0027544   .0043361    -0.64   0.526    -.0112793    .0057704
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.10
       Model |  .001658459         2  .000829229   Prob > F        =    0.9036
    Residual |  3.23088208       395  .008179448   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  3.23254054       397  .008142419   Root MSE        =    .09044

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0067985   .0218253     0.31   0.756    -.0361097    .0497067
    jointdem |  -.0176996   .0402853    -0.44   0.661       -.0969    .0615008
       _cons |  -.0045596   .0046828    -0.97   0.331     -.013766    .0046468
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.12
       Model |   .00181468         2   .00090734   Prob > F        =    0.8909
    Residual |  3.10237664       395  .007854118   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  3.10419132       397  .007819122   Root MSE        =    .08862

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0042461   .0213868     0.20   0.843    -.0378002    .0462923
    jointdem |  -.0188446    .039476    -0.48   0.633     -.096454    .0587648
       _cons |  -.0020409   .0045887    -0.44   0.657    -.0110623    .0069806
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.09
       Model |  .001473805         2  .000736903   Prob > F        =    0.9141
    Residual |  3.24083452       395  .008204644   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  3.24230833       397  .008167023   Root MSE        =    .09058

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0045508   .0218589     0.21   0.835    -.0384235     .047525
    jointdem |  -.0170928   .0403473    -0.42   0.672    -.0964151    .0622295
       _cons |  -.0016402     .00469    -0.35   0.727    -.0108607    .0075803
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.11
       Model |  .001664268         2  .000832134   Prob > F        =    0.8979
    Residual |  3.05087211       395  .007723727   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  3.05253638       397  .007689009   Root MSE        =    .08788

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0055176   .0212086     0.26   0.795    -.0361782    .0472134
    jointdem |  -.0181474    .039147    -0.46   0.643    -.0951098    .0588151
       _cons |  -.0023602   .0045505    -0.52   0.604    -.0113065     .006586
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.05
       Model |  .000905633         2  .000452817   Prob > F        =    0.9511
    Residual |   3.5650333       395  .009025401   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  3.56593894       397  .008982214   Root MSE        =      .095

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0050981   .0229261     0.22   0.824    -.0399744    .0501706
    jointdem |  -.0130362   .0423173    -0.31   0.758    -.0962315    .0701591
       _cons |  -.0054553    .004919    -1.11   0.268     -.015126    .0042155
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.12
       Model |  .001886477         2  .000943238   Prob > F        =    0.8911
    Residual |  3.23136824       395  .008180679   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0045
       Total |  3.23325472       397  .008144218   Root MSE        =    .09045

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .006412   .0218269     0.29   0.769    -.0364995    .0493234
    jointdem |  -.0192188   .0402883    -0.48   0.634    -.0984252    .0599876
       _cons |  -.0022471   .0046832    -0.48   0.632    -.0114542      .00696
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.09
       Model |  .001398771         2  .000699386   Prob > F        =    0.9115
    Residual |  2.98005495       395  .007544443   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  2.98145372       397  .007509959   Root MSE        =    .08686

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0041947    .020961     0.20   0.841    -.0370143    .0454037
    jointdem |  -.0166296     .03869    -0.43   0.668    -.0926936    .0594344
       _cons |  -.0026235   .0044974    -0.58   0.560    -.0114653    .0062183
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.12
       Model |  .001850714         2  .000925357   Prob > F        =    0.8856
    Residual |   3.0064041       395   .00761115   R-squared       =    0.0006
-------------+----------------------------------   Adj R-squared   =   -0.0044
       Total |  3.00825482       397  .007577468   Root MSE        =    .08724

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0070739   .0210534     0.34   0.737    -.0343168    .0484647
    jointdem |  -.0187554   .0388606    -0.48   0.630    -.0951549    .0576441
       _cons |  -.0017465   .0045172    -0.39   0.699    -.0106273    .0071342
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       398
-------------+----------------------------------   F(2, 395)       =      0.09
       Model |  .001748806         2  .000874403   Prob > F        =    0.9103
    Residual |  3.67320984       395  .009299265   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0046
       Total |  3.67495864       397  .009256823   Root MSE        =    .09643

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0069578   .0232714     0.30   0.765    -.0387935     .052709
    jointdem |  -.0181883   .0429545    -0.42   0.672    -.1026364    .0662598
       _cons |  -.0033167   .0049931    -0.66   0.507    -.0131331    .0064996
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.005   \\
            &     (0.021)   \\
jointdem    &      -0.018   \\
            &     (0.039)   \\
_cons       &      -0.003   \\
            &     (0.005)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Pre2  = _b[onedem];

.                         gen se1_lo_demA_Pre2 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Pre2 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Pre2  = _b[jointdem];

.                         gen se1_lo_2dem_Pre2 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Pre2 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Pre3==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.50
       Model |  .007926552         2  .003963276   Prob > F        =    0.6080
    Residual |  3.07887357       387  .007955746   R-squared       =    0.0026
-------------+----------------------------------   Adj R-squared   =   -0.0026
       Total |  3.08680012       389  .007935219   Root MSE        =    .08919

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0192304    .020019    -0.96   0.337    -.0585901    .0201293
    jointdem |   .0082254   .0412893     0.20   0.842    -.0729539    .0894048
       _cons |   .0108454   .0046815     2.32   0.021      .001641    .0200498
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.74
       Model |  .012629114         2  .006314557   Prob > F        =    0.4795
    Residual |  3.31878507       387  .008575672   R-squared       =    0.0038
-------------+----------------------------------   Adj R-squared   =   -0.0014
       Total |  3.33141418       389  .008564047   Root MSE        =     .0926

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0229518   .0207844    -1.10   0.270    -.0638162    .0179126
    jointdem |   .0025239   .0428678     0.06   0.953    -.0817589    .0868067
       _cons |   .0130311   .0048605     2.68   0.008     .0034748    .0225874
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.58
       Model |  .009436841         2  .004718421   Prob > F        =    0.5615
    Residual |   3.1590947       387  .008163035   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0022
       Total |  3.16853154       389  .008145325   Root MSE        =    .09035

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0207064   .0202782    -1.02   0.308    -.0605755    .0191627
    jointdem |   .0070584   .0418237     0.17   0.866    -.0751717    .0892885
       _cons |   .0110042   .0047421     2.32   0.021     .0016807    .0203278
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.64
       Model |   .01096683         2  .005483415   Prob > F        =    0.5268
    Residual |  3.30577885       387  .008542064   R-squared       =    0.0033
-------------+----------------------------------   Adj R-squared   =   -0.0018
       Total |  3.31674568       389  .008526339   Root MSE        =    .09242

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0220879   .0207436    -1.06   0.288    -.0628722    .0186963
    jointdem |   .0061506   .0427837     0.14   0.886    -.0779669    .0902681
       _cons |   .0121995    .004851     2.51   0.012      .002662    .0217371
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.57
       Model |  .008344779         2   .00417239   Prob > F        =    0.5659
    Residual |  2.83232663       387  .007318673   R-squared       =    0.0029
-------------+----------------------------------   Adj R-squared   =   -0.0022
       Total |  2.84067141       389  .007302497   Root MSE        =    .08555

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0199542   .0192008    -1.04   0.299    -.0577051    .0177967
    jointdem |    .010228   .0396016     0.26   0.796    -.0676333    .0880892
       _cons |   .0114324   .0044902     2.55   0.011     .0026042    .0202606
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.51
       Model |  .009900407         2  .004950203   Prob > F        =    0.6007
    Residual |  3.75427216       387  .009700962   R-squared       =    0.0026
-------------+----------------------------------   Adj R-squared   =   -0.0025
       Total |  3.76417257       389  .009676536   Root MSE        =    .09849

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0218222    .022106    -0.99   0.324    -.0652851    .0216407
    jointdem |   .0119311   .0455936     0.26   0.794    -.0777111    .1015733
       _cons |   .0130284   .0051696     2.52   0.012     .0028645    .0231924
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.58
       Model |  .010491169         2  .005245584   Prob > F        =    0.5612
    Residual |   3.5089734       387  .009067115   R-squared       =    0.0030
-------------+----------------------------------   Adj R-squared   =   -0.0022
       Total |  3.51946457       389  .009047467   Root MSE        =    .09522

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.021607   .0213716    -1.01   0.313     -.063626     .020412
    jointdem |   .0060358   .0440789     0.14   0.891    -.0806284       .0927
       _cons |    .012385   .0049978     2.48   0.014     .0025587    .0222113
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.52
       Model |  .008199242         2  .004099621   Prob > F        =    0.5931
    Residual |   3.0326725       387  .007836363   R-squared       =    0.0027
-------------+----------------------------------   Adj R-squared   =   -0.0025
       Total |  3.04087175       389  .007817151   Root MSE        =    .08852

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0198124   .0198683    -1.00   0.319    -.0588756    .0192509
    jointdem |   .0104297   .0409783     0.25   0.799    -.0701382    .0909977
       _cons |   .0109674   .0046463     2.36   0.019     .0018323    .0201025
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.83
       Model |  .012636892         2  .006318446   Prob > F        =    0.4356
    Residual |  2.93593981       387  .007586408   R-squared       =    0.0043
-------------+----------------------------------   Adj R-squared   =   -0.0009
       Total |   2.9485767       389  .007579889   Root MSE        =     .0871

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0220896   .0195488    -1.13   0.259    -.0605248    .0163456
    jointdem |  -.0014657   .0403195    -0.04   0.971    -.0807383    .0778069
       _cons |   .0124642   .0045716     2.73   0.007      .003476    .0214524
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       390
-------------+----------------------------------   F(2, 387)       =      0.70
       Model |   .01274596         2   .00637298   Prob > F        =    0.4975
    Residual |  3.52665825       387  .009112812   R-squared       =    0.0036
-------------+----------------------------------   Adj R-squared   =   -0.0015
       Total |  3.53940421       389  .009098725   Root MSE        =    .09546

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.023627   .0214254    -1.10   0.271    -.0657518    .0184977
    jointdem |   .0055516   .0441899     0.13   0.900    -.0813307    .0924339
       _cons |   .0133505   .0050104     2.66   0.008     .0034995    .0232016
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.021   \\
            &     (0.020)   \\
jointdem    &       0.007   \\
            &     (0.042)   \\
_cons       &       0.012** \\
            &     (0.005)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Pre3  = _b[onedem];

.                         gen se1_lo_demA_Pre3 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Pre3 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Pre3  = _b[jointdem];

.                         gen se1_lo_2dem_Pre3 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Pre3 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Pre4==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.10
       Model |  .001148285         2  .000574143   Prob > F        =    0.9044
    Residual |  2.16420176       379  .005710295   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0047
       Total |  2.16535005       381  .005683333   Root MSE        =    .07557

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0069529   .0173653    -0.40   0.689    -.0410974    .0271916
    jointdem |   .0128624   .0351743     0.37   0.715    -.0562988    .0820236
       _cons |   .0034924    .004005     0.87   0.384    -.0043825    .0113672
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.03
       Model |  .000335454         2  .000167727   Prob > F        =    0.9741
    Residual |  2.42647716       379  .006402314   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0051
       Total |  2.42681262       381  .006369587   Root MSE        =    .08001

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0041407   .0183875    -0.23   0.822     -.040295    .0320136
    jointdem |   .0052718   .0372447     0.14   0.888    -.0679604    .0785039
       _cons |   .0035125   .0042408     0.83   0.408    -.0048258    .0118509
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.04
       Model |  .000466655         2  .000233327   Prob > F        =    0.9654
    Residual |  2.51307651       379  .006630809   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0051
       Total |  2.51354316       381  .006597226   Root MSE        =    .08143

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0041756   .0187127    -0.22   0.824    -.0409694    .0326182
    jointdem |   .0087609   .0379035     0.23   0.817    -.0657666    .0832884
       _cons |   .0036214   .0043158     0.84   0.402    -.0048644    .0121073
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.03
       Model |   .00041166         2   .00020583   Prob > F        =    0.9705
    Residual |  2.60451225       379  .006872064   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0051
       Total |  2.60492391       381  .006837071   Root MSE        =     .0829

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0031821   .0190501    -0.17   0.867    -.0406393     .034275
    jointdem |   .0091151   .0385869     0.24   0.813    -.0667561    .0849863
       _cons |   .0037653   .0043936     0.86   0.392    -.0048736    .0124041
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.09
       Model |  .001123621         2  .000561811   Prob > F        =    0.9133
    Residual |  2.34653191       379  .006191377   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |  2.34765553       381  .006161826   Root MSE        =    .07869

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0075836    .018082    -0.42   0.675    -.0431373    .0279701
    jointdem |   .0096004    .036626     0.26   0.793    -.0624153     .081616
       _cons |   .0042303   .0041703     1.01   0.311    -.0039695    .0124302
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.10
       Model |  .001373791         2  .000686896   Prob > F        =    0.9082
    Residual |  2.70262861       379  .007130946   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0048
       Total |   2.7040024       381  .007097119   Root MSE        =    .08444

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0083642   .0194056    -0.43   0.667    -.0465203     .029792
    jointdem |   .0050379    .039307     0.13   0.898    -.0722492     .082325
       _cons |    .003776   .0044756     0.84   0.399    -.0050241     .012576
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.07
       Model |  .000991033         2  .000495517   Prob > F        =    0.9280
    Residual |  2.51397103       379  .006633169   R-squared       =    0.0004
-------------+----------------------------------   Adj R-squared   =   -0.0049
       Total |  2.51496206       381   .00660095   Root MSE        =    .08144

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0045234   .0187161    -0.24   0.809    -.0413237    .0322769
    jointdem |   .0143923   .0379102     0.38   0.704    -.0601485     .088933
       _cons |   .0036243   .0043165     0.84   0.402     -.004863    .0121117
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.06
       Model |  .000734303         2  .000367151   Prob > F        =    0.9438
    Residual |   2.4040407       379  .006343115   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |    2.404775       381  .006311745   Root MSE        =    .07964

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   -.006007   .0183023    -0.33   0.743    -.0419938    .0299797
    jointdem |   .0086262   .0370721     0.23   0.816    -.0642666     .081519
       _cons |   .0033887   .0042211     0.80   0.423     -.004911    .0116884
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.06
       Model |  .000748897         2  .000374448   Prob > F        =    0.9420
    Residual |  2.37565089       379  .006268208   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  2.37639979       381   .00623727   Root MSE        =    .07917

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0008345   .0181939     0.05   0.963    -.0349391    .0366082
    jointdem |   .0103711   .0368526     0.28   0.779      -.06209    .0828322
       _cons |   .0030195   .0041961     0.72   0.472    -.0052311      .01127
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       382
-------------+----------------------------------   F(2, 379)       =      0.04
       Model |  .000552215         2  .000276107   Prob > F        =    0.9638
    Residual |  2.83972963       379   .00749269   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0051
       Total |  2.84028185       381  .007454808   Root MSE        =    .08656

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0039367   .0198917    -0.20   0.843    -.0430487    .0351753
    jointdem |   .0103464   .0402916     0.26   0.797    -.0688767    .0895696
       _cons |   .0039505   .0045877     0.86   0.390      -.00507     .012971
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &      -0.005   \\
            &     (0.018)   \\
jointdem    &       0.009   \\
            &     (0.037)   \\
_cons       &       0.004   \\
            &     (0.004)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Pre4  = _b[onedem];

.                         gen se1_lo_demA_Pre4 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Pre4 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Pre4  = _b[jointdem];

.                         gen se1_lo_2dem_Pre4 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Pre4 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Apply Rubin for uncertainty in estimates */
>                         forvalues i=1/10 {;
  2.                         regress ChgThreat_y1_d`i' onedem jointdem if Pre5==1;
  3.                         matrix Q`i' = e(b);
  4.                                 matrix W`i' = e(V);
  5.                                 matrix  ll`i' = e(ll);
  6.                                 matrix chi`i' = e(chi2);
  7.                                 nois _dots `i' 0;
  8.                         };

      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.05
       Model |  .000464531         2  .000232266   Prob > F        =    0.9532
    Residual |  1.77805811       367  .004844845   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0052
       Total |  1.77852264       369  .004819845   Root MSE        =     .0696

------------------------------------------------------------------------------
ChgThre~1_d1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0036147   .0153083     0.24   0.813    -.0264884    .0337178
    jointdem |   .0028812   .0344846     0.08   0.933    -.0649311    .0706934
       _cons |   .0024384   .0037583     0.65   0.517    -.0049521    .0098289
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.06
       Model |  .000597901         2   .00029895   Prob > F        =    0.9431
    Residual |  1.87095161       367  .005097961   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0051
       Total |  1.87154951       369   .00507195   Root MSE        =     .0714

------------------------------------------------------------------------------
ChgThre~1_d2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |    .001726   .0157031     0.11   0.913    -.0291534    .0326054
    jointdem |   .0088055    .035374     0.25   0.804    -.0607556    .0783666
       _cons |   .0010984   .0038552     0.28   0.776    -.0064828    .0086795
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.09
       Model |   .00097574         2   .00048787   Prob > F        =    0.9180
    Residual |  2.09152613       367  .005698981   R-squared       =    0.0005
-------------+----------------------------------   Adj R-squared   =   -0.0050
       Total |  2.09250187       369  .005670737   Root MSE        =    .07549

------------------------------------------------------------------------------
ChgThre~1_d3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0050334    .016603     0.30   0.762    -.0276155    .0376824
    jointdem |   .0048423   .0374011     0.13   0.897     -.068705    .0783896
       _cons |    .001247   .0040762     0.31   0.760    -.0067686    .0092625
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.02
       Model |  .000251258         2  .000125629   Prob > F        =    0.9773
    Residual |  2.00483027       367  .005462753   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0053
       Total |  2.00508153       369  .005433825   Root MSE        =    .07391

------------------------------------------------------------------------------
ChgThre~1_d4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0023037   .0162553     0.14   0.887    -.0296614    .0342689
    jointdem |   .0031919   .0366177     0.09   0.931     -.068815    .0751988
       _cons |   .0015151   .0039908     0.38   0.704    -.0063326    .0093628
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.06
       Model |  .000628151         2  .000314075   Prob > F        =    0.9383
    Residual |  1.80915522       367  .004929578   R-squared       =    0.0003
-------------+----------------------------------   Adj R-squared   =   -0.0051
       Total |  1.80978337       369  .004904562   Root MSE        =    .07021

------------------------------------------------------------------------------
ChgThre~1_d5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0012952   .0154416     0.08   0.933      -.02907    .0316604
    jointdem |   .0097519   .0347849     0.28   0.779    -.0586508    .0781546
       _cons |   .0022017    .003791     0.58   0.562    -.0052531    .0096566
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.04
       Model |  .000443007         2  .000221503   Prob > F        =    0.9593
    Residual |  1.95445999       367  .005325504   R-squared       =    0.0002
-------------+----------------------------------   Adj R-squared   =   -0.0052
       Total |  1.95490299       369   .00529784   Root MSE        =    .07298

------------------------------------------------------------------------------
ChgThre~1_d6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0023811   .0160498     0.15   0.882    -.0291799    .0339421
    jointdem |   .0058896   .0361548     0.16   0.871     -.065207    .0769862
       _cons |    .003247   .0039403     0.82   0.410    -.0045015    .0109954
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.01
       Model |  .000054714         2  .000027357   Prob > F        =    0.9948
    Residual |  1.91695956       367  .005223323   R-squared       =    0.0000
-------------+----------------------------------   Adj R-squared   =   -0.0054
       Total |  1.91701427       369  .005195161   Root MSE        =    .07227

------------------------------------------------------------------------------
ChgThre~1_d7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0015178    .015895    -0.10   0.924    -.0327746     .029739
    jointdem |   .0026249   .0358063     0.07   0.942    -.0677863    .0730361
       _cons |   .0023384   .0039024     0.60   0.549    -.0053354    .0100122
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.07
       Model |   .00071534         2   .00035767   Prob > F        =    0.9333
    Residual |  1.90268223       367   .00518442   R-squared       =    0.0004
-------------+----------------------------------   Adj R-squared   =   -0.0051
       Total |  1.90339757       369  .005158259   Root MSE        =      .072

------------------------------------------------------------------------------
ChgThre~1_d8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0040436   .0158357     0.26   0.799    -.0270966    .0351838
    jointdem |   .0049463   .0356727     0.14   0.890    -.0652022    .0750948
       _cons |   .0020924   .0038878     0.54   0.591    -.0055528    .0097375
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.01
       Model |  .000059275         2  .000029637   Prob > F        =    0.9939
    Residual |  1.77113633       367  .004825985   R-squared       =    0.0000
-------------+----------------------------------   Adj R-squared   =   -0.0054
       Total |   1.7711956       369  .004799988   Root MSE        =    .06947

------------------------------------------------------------------------------
ChgThre~1_d9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |  -.0003697   .0152785    -0.02   0.981    -.0304141    .0296747
    jointdem |   .0037304   .0344174     0.11   0.914    -.0639497    .0714105
       _cons |   .0006581    .003751     0.18   0.861    -.0067181    .0080342
------------------------------------------------------------------------------
.
      Source |       SS           df       MS      Number of obs   =       370
-------------+----------------------------------   F(2, 367)       =      0.03
       Model |  .000283375         2  .000141688   Prob > F        =    0.9750
    Residual |  2.05212693       367  .005591627   R-squared       =    0.0001
-------------+----------------------------------   Adj R-squared   =   -0.0053
       Total |   2.0524103       369  .005562088   Root MSE        =    .07478

------------------------------------------------------------------------------
ChgThr~1_d10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      onedem |   .0007867   .0164459     0.05   0.962    -.0315533    .0331267
    jointdem |   .0066673   .0370471     0.18   0.857     -.066184    .0795186
       _cons |   .0021708   .0040376     0.54   0.591    -.0057689    .0101105
------------------------------------------------------------------------------
.
.                         rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .10 ** .05 *** .01) style(tex);

            &           .   \\
            &        b/se   \\
onedem      &       0.003   \\
            &     (0.016)   \\
jointdem    &       0.006   \\
            &     (0.036)   \\
_cons       &       0.002   \\
            &     (0.004)   \\

.                         /* Obtain data for graph plot */
>                         gen b1_demA_Pre5  = _b[onedem];

.                         gen se1_lo_demA_Pre5 = _b[onedem]-1.96*_se[onedem];

.                         gen se1_hi_demA_Pre5 = _b[onedem]+1.96*_se[onedem];

.                         gen b1_2dem_Pre5  = _b[jointdem];

.                         gen se1_lo_2dem_Pre5 = _b[jointdem]-1.96*_se[jointdem];

.                         gen se1_hi_2dem_Pre5 = _b[jointdem]+1.96*_se[jointdem];

.                         /* Generate placement for graph */
>                         gen Chg1_pre5=1;

.                         gen Chg1_pre4=2;

.                         gen Chg1_pre3=3;

.                         gen Chg1_pre2=4;

.                         gen Chg1_pre1=5;

.                         gen Chg1_post0=6;

.                         gen Chg1_post1=7;

.                         gen Chg1_post2=8;

.                         gen Chg1_post3=9;

.                         gen Chg1_post4=10;

.                         gen Chg1_post5=11;

.                                                 /* Collapse key variables */
>                         collapse se* b* Chg*;

.                                                 /* Graph each period for t-3 and DemA*/
>                         twoway rcap se3_lo_demA_Pre5 se3_hi_demA_Pre5 Chg3_pre5, lcolor(black) 
>                                 || rcap se3_lo_demA_Pre4 se3_hi_demA_Pre4 Chg3_pre4, lcolor(black)
>                                 || rcap se3_lo_demA_Pre3 se3_hi_demA_Pre3 Chg3_pre3, lcolor(black)
>                                 || rcap se3_lo_demA_Pre2 se3_hi_demA_Pre2 Chg3_pre2, lcolor(black)
>                                 || rcap se3_lo_demA_Pre1 se3_hi_demA_Pre1 Chg3_pre1, lcolor(black)
>                                 || rcap se3_lo_demA_Post0 se3_hi_demA_Post0 Chg3_post0, lcolor(black)
>                                 || rcap se3_lo_demA_Post1 se3_hi_demA_Post1 Chg3_post1, lcolor(black)
>                                 || rcap se3_lo_demA_Post2 se3_hi_demA_Post2 Chg3_post2, lcolor(black)
>                                 || rcap se3_lo_demA_Post3 se3_hi_demA_Post3 Chg3_post3, lcolor(black)
>                                 || rcap se3_lo_demA_Post4 se3_hi_demA_Post4 Chg3_post4, lcolor(black)
>                                 || rcap se3_lo_demA_Post5 se3_hi_demA_Post5 Chg3_post5, lcolor(black)
>                                 || scatter b3_demA_Pre5 Chg3_pre5, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Pre4 Chg3_pre4, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Pre3 Chg3_pre3, msymbol(circle) mcolor(black)
>                                 || scatter b3_demA_Pre2 Chg3_pre2, msymbol(circle) mcolor(black)        
>                                 || scatter b3_demA_Pre1 Chg3_pre1, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Post0 Chg3_post0, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Post1 Chg3_post1, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Post2 Chg3_post2, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Post3 Chg3_post3, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Post4 Chg3_post4, msymbol(circle) mcolor(black) 
>                                 || scatter b3_demA_Post5 Chg3_post5, msymbol(circle) mcolor(black) 
>                                 ytitle("") yline(0) legend(off) scheme(s1mono) t2("Democracy A") xline(5.9, lpattern(shortdash))
>                                 xlabel(0.5 " " 1 "T-5" 2 "T-4" 3 "T-3" 4 "T-2" 5 "T-1" 6 "T" 7 "T+1" 8 "T+2" 9 "T+3" 10 "T+4" 11 "T+5" 11.5 " ", noticks)
>                                 xticks(1(1)11);

.                                         graph save threat3_demA, replace;
(note: file threat3_demA.gph not found)
(file threat3_demA.gph saved)

.                                                                 /* Graph each period for t-3 and jointDem*/
>                         twoway rcap se3_lo_2dem_Pre5 se3_hi_2dem_Pre5 Chg3_pre5, lcolor(black) 
>                                 || rcap se3_lo_2dem_Pre4 se3_hi_2dem_Pre4 Chg3_pre4, lcolor(black)
>                                 || rcap se3_lo_2dem_Pre3 se3_hi_2dem_Pre3 Chg3_pre3, lcolor(black)
>                                 || rcap se3_lo_2dem_Pre2 se3_hi_2dem_Pre2 Chg3_pre2, lcolor(black)
>                                 || rcap se3_lo_2dem_Pre1 se3_hi_2dem_Pre1 Chg3_pre1, lcolor(black)
>                                 || rcap se3_lo_2dem_Post0 se3_hi_2dem_Post0 Chg3_post0, lcolor(black)
>                                 || rcap se3_lo_2dem_Post1 se3_hi_2dem_Post1 Chg3_post1, lcolor(black)
>                                 || rcap se3_lo_2dem_Post2 se3_hi_2dem_Post2 Chg3_post2, lcolor(black)
>                                 || rcap se3_lo_2dem_Post3 se3_hi_2dem_Post3 Chg3_post3, lcolor(black)
>                                 || rcap se3_lo_2dem_Post4 se3_hi_2dem_Post4 Chg3_post4, lcolor(black)
>                                 || rcap se3_lo_2dem_Post5 se3_hi_2dem_Post5 Chg3_post5, lcolor(black)
>                                 || scatter b3_2dem_Pre5 Chg3_pre5, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Pre4 Chg3_pre4, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Pre3 Chg3_pre3, msymbol(circle) mcolor(black)
>                                 || scatter b3_2dem_Pre2 Chg3_pre2, msymbol(circle) mcolor(black)        
>                                 || scatter b3_2dem_Pre1 Chg3_pre1, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Post0 Chg3_post0, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Post1 Chg3_post1, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Post2 Chg3_post2, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Post3 Chg3_post3, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Post4 Chg3_post4, msymbol(circle) mcolor(black) 
>                                 || scatter b3_2dem_Post5 Chg3_post5, msymbol(circle) mcolor(black) 
>                                 ytitle("") yline(0) legend(off) scheme(s1mono) t2("Joint Democracy") xline(5.9, lpattern(shortdash))
>                                 xlabel(0.5 " " 1 "T-5" 2 "T-4" 3 "T-3" 4 "T-2" 5 "T-1" 6 "T" 7 "T+1" 8 "T+2" 9 "T+3" 10 "T+4" 11 "T+5" 11.5 " ", noticks)
>                                 xticks(1(1)11);

.                                         graph save threat3_2dem, replace;
(note: file threat3_2dem.gph not found)
(file threat3_2dem.gph saved)

.                         graph combine threat3_demA.gph threat3_2dem.gph, col(2)   scheme(s1mono) title("{&Delta} Threat, t-3");

.                                 graph save threat3, replace;
(note: file threat3.gph not found)
(file threat3.gph saved)

.                         /* Graph each period for t-2 and DemA*/
>                         twoway rcap se2_lo_demA_Pre5 se2_hi_demA_Pre5 Chg2_pre5, lcolor(black) 
>                                 || rcap se2_lo_demA_Pre4 se2_hi_demA_Pre4 Chg2_pre4, lcolor(black)
>                                 || rcap se2_lo_demA_Pre3 se2_hi_demA_Pre3 Chg2_pre3, lcolor(black)
>                                 || rcap se2_lo_demA_Pre2 se2_hi_demA_Pre2 Chg2_pre2, lcolor(black)
>                                 || rcap se2_lo_demA_Pre1 se2_hi_demA_Pre1 Chg2_pre1, lcolor(black)
>                                 || rcap se2_lo_demA_Post0 se2_hi_demA_Post0 Chg2_post0, lcolor(black)
>                                 || rcap se2_lo_demA_Post1 se2_hi_demA_Post1 Chg2_post1, lcolor(black)
>                                 || rcap se2_lo_demA_Post2 se2_hi_demA_Post2 Chg2_post2, lcolor(black)
>                                 || rcap se2_lo_demA_Post3 se2_hi_demA_Post3 Chg2_post3, lcolor(black)
>                                 || rcap se2_lo_demA_Post4 se2_hi_demA_Post4 Chg2_post4, lcolor(black)
>                                 || rcap se2_lo_demA_Post5 se2_hi_demA_Post5 Chg2_post5, lcolor(black)
>                                 || scatter b2_demA_Pre5 Chg2_pre5, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Pre4 Chg2_pre4, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Pre3 Chg2_pre3, msymbol(circle) mcolor(black)
>                                 || scatter b2_demA_Pre2 Chg2_pre2, msymbol(circle) mcolor(black)        
>                                 || scatter b2_demA_Pre1 Chg2_pre1, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Post0 Chg2_post0, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Post1 Chg2_post1, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Post2 Chg2_post2, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Post3 Chg2_post3, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Post4 Chg2_post4, msymbol(circle) mcolor(black) 
>                                 || scatter b2_demA_Post5 Chg2_post5, msymbol(circle) mcolor(black) 
>                                 ytitle("") yline(0) legend(off) scheme(s1mono) t2("Democracy A") xline(5.9, lpattern(shortdash))
>                                 xlabel(0.5 " " 1 "T-5" 2 "T-4" 3 "T-3" 4 "T-2" 5 "T-1" 6 "T" 7 "T+1" 8 "T+2" 9 "T+3" 10 "T+4" 11 "T+5" 11.5 " ", noticks)
>                                 xticks(1(1)11);

.                                         graph save threat2_demA, replace;
(note: file threat2_demA.gph not found)
(file threat2_demA.gph saved)

.                                                                 /* Graph each period for t-2 and jointDem*/
>                         twoway rcap se2_lo_2dem_Pre5 se2_hi_2dem_Pre5 Chg2_pre5, lcolor(black) 
>                                 || rcap se2_lo_2dem_Pre4 se2_hi_2dem_Pre4 Chg2_pre4, lcolor(black)
>                                 || rcap se2_lo_2dem_Pre3 se2_hi_2dem_Pre3 Chg2_pre3, lcolor(black)
>                                 || rcap se2_lo_2dem_Pre2 se2_hi_2dem_Pre2 Chg2_pre2, lcolor(black)
>                                 || rcap se2_lo_2dem_Pre1 se2_hi_2dem_Pre1 Chg2_pre1, lcolor(black)
>                                 || rcap se2_lo_2dem_Post0 se2_hi_2dem_Post0 Chg2_post0, lcolor(black)
>                                 || rcap se2_lo_2dem_Post1 se2_hi_2dem_Post1 Chg2_post1, lcolor(black)
>                                 || rcap se2_lo_2dem_Post2 se2_hi_2dem_Post2 Chg2_post2, lcolor(black)
>                                 || rcap se2_lo_2dem_Post3 se2_hi_2dem_Post3 Chg2_post3, lcolor(black)
>                                 || rcap se2_lo_2dem_Post4 se2_hi_2dem_Post4 Chg2_post4, lcolor(black)
>                                 || rcap se2_lo_2dem_Post5 se2_hi_2dem_Post5 Chg2_post5, lcolor(black)
>                                 || scatter b2_2dem_Pre5 Chg2_pre5, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Pre4 Chg2_pre4, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Pre3 Chg2_pre3, msymbol(circle) mcolor(black)
>                                 || scatter b2_2dem_Pre2 Chg2_pre2, msymbol(circle) mcolor(black)        
>                                 || scatter b2_2dem_Pre1 Chg2_pre1, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Post0 Chg2_post0, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Post1 Chg2_post1, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Post2 Chg2_post2, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Post3 Chg2_post3, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Post4 Chg2_post4, msymbol(circle) mcolor(black) 
>                                 || scatter b2_2dem_Post5 Chg2_post5, msymbol(circle) mcolor(black) 
>                                 ytitle("") yline(0) legend(off) scheme(s1mono) t2("Joint Democracy") xline(5.9, lpattern(shortdash))
>                                 xlabel(0.5 " " 1 "T-5" 2 "T-4" 3 "T-3" 4 "T-2" 5 "T-1" 6 "T" 7 "T+1" 8 "T+2" 9 "T+3" 10 "T+4" 11 "T+5" 11.5 " ", noticks)
>                                 xticks(1(1)11);

.                                         graph save threat2_2dem, replace;
(note: file threat2_2dem.gph not found)
(file threat2_2dem.gph saved)

.                         graph combine threat2_demA.gph threat2_2dem.gph, col(2)   scheme(s1mono) title("{&Delta} Threat, t-2");

.                                 graph save threat2, replace;
(note: file threat2.gph not found)
(file threat2.gph saved)

.                         /* Graph each period for t-1 and DemA*/
>                         twoway rcap se1_lo_demA_Pre5 se1_hi_demA_Pre5 Chg1_pre5, lcolor(black) 
>                                 || rcap se1_lo_demA_Pre4 se1_hi_demA_Pre4 Chg1_pre4, lcolor(black)
>                                 || rcap se1_lo_demA_Pre3 se1_hi_demA_Pre3 Chg1_pre3, lcolor(black)
>                                 || rcap se1_lo_demA_Pre2 se1_hi_demA_Pre2 Chg1_pre2, lcolor(black)
>                                 || rcap se1_lo_demA_Pre1 se1_hi_demA_Pre1 Chg1_pre1, lcolor(black)
>                                 || rcap se1_lo_demA_Post0 se1_hi_demA_Post0 Chg1_post0, lcolor(black)
>                                 || rcap se1_lo_demA_Post1 se1_hi_demA_Post1 Chg1_post1, lcolor(black)
>                                 || rcap se1_lo_demA_Post2 se1_hi_demA_Post2 Chg1_post2, lcolor(black)
>                                 || rcap se1_lo_demA_Post3 se1_hi_demA_Post3 Chg1_post3, lcolor(black)
>                                 || rcap se1_lo_demA_Post4 se1_hi_demA_Post4 Chg1_post4, lcolor(black)
>                                 || rcap se1_lo_demA_Post5 se1_hi_demA_Post5 Chg1_post5, lcolor(black)
>                                 || scatter b1_demA_Pre5 Chg1_pre5, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Pre4 Chg1_pre4, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Pre3 Chg1_pre3, msymbol(circle) mcolor(black)
>                                 || scatter b1_demA_Pre2 Chg1_pre2, msymbol(circle) mcolor(black)        
>                                 || scatter b1_demA_Pre1 Chg1_pre1, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Post0 Chg1_post0, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Post1 Chg1_post1, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Post2 Chg1_post2, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Post3 Chg1_post3, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Post4 Chg1_post4, msymbol(circle) mcolor(black) 
>                                 || scatter b1_demA_Post5 Chg1_post5, msymbol(circle) mcolor(black) 
>                                 ytitle("") yline(0) legend(off) scheme(s1mono) t2("Democracy A") xline(5.9, lpattern(shortdash))
>                                 xlabel(0.5 " " 1 "T-5" 2 "T-4" 3 "T-3" 4 "T-2" 5 "T-1" 6 "T" 7 "T+1" 8 "T+2" 9 "T+3" 10 "T+4" 11 "T+5" 11.5 " ", noticks)
>                                 xticks(1(1)11);

.                                         graph save threat1_demA, replace;
(note: file threat1_demA.gph not found)
(file threat1_demA.gph saved)

.                                                                 /* Graph each period for t-1 and jointDem*/
>                         twoway rcap se1_lo_2dem_Pre5 se1_hi_2dem_Pre5 Chg1_pre5, lcolor(black) 
>                                 || rcap se1_lo_2dem_Pre4 se1_hi_2dem_Pre4 Chg1_pre4, lcolor(black)
>                                 || rcap se1_lo_2dem_Pre3 se1_hi_2dem_Pre3 Chg1_pre3, lcolor(black)
>                                 || rcap se1_lo_2dem_Pre2 se1_hi_2dem_Pre2 Chg1_pre2, lcolor(black)
>                                 || rcap se1_lo_2dem_Pre1 se1_hi_2dem_Pre1 Chg1_pre1, lcolor(black)
>                                 || rcap se1_lo_2dem_Post0 se1_hi_2dem_Post0 Chg1_post0, lcolor(black)
>                                 || rcap se1_lo_2dem_Post1 se1_hi_2dem_Post1 Chg1_post1, lcolor(black)
>                                 || rcap se1_lo_2dem_Post2 se1_hi_2dem_Post2 Chg1_post2, lcolor(black)
>                                 || rcap se1_lo_2dem_Post3 se1_hi_2dem_Post3 Chg1_post3, lcolor(black)
>                                 || rcap se1_lo_2dem_Post4 se1_hi_2dem_Post4 Chg1_post4, lcolor(black)
>                                 || rcap se1_lo_2dem_Post5 se1_hi_2dem_Post5 Chg1_post5, lcolor(black)
>                                 || scatter b1_2dem_Pre5 Chg1_pre5, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Pre4 Chg1_pre4, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Pre3 Chg1_pre3, msymbol(circle) mcolor(black)
>                                 || scatter b1_2dem_Pre2 Chg1_pre2, msymbol(circle) mcolor(black)        
>                                 || scatter b1_2dem_Pre1 Chg1_pre1, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Post0 Chg1_post0, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Post1 Chg1_post1, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Post2 Chg1_post2, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Post3 Chg1_post3, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Post4 Chg1_post4, msymbol(circle) mcolor(black) 
>                                 || scatter b1_2dem_Post5 Chg1_post5, msymbol(circle) mcolor(black) 
>                                 ytitle("") yline(0) legend(off) scheme(s1mono) t2("Joint Democracy") xline(5.9, lpattern(shortdash))
>                                 xlabel(0.5 " " 1 "T-5" 2 "T-4" 3 "T-3" 4 "T-2" 5 "T-1" 6 "T" 7 "T+1" 8 "T+2" 9 "T+3" 10 "T+4" 11 "T+5" 11.5 " ", noticks)
>                                 xticks(1(1)11);

.                                         graph save threat1_2dem, replace;
(note: file threat1_2dem.gph not found)
(file threat1_2dem.gph saved)

.                                 graph combine threat1_demA.gph threat1_2dem.gph, col(2)   scheme(s1mono) title("{&Delta} Threat, t-1");

.                                         graph save threat1, replace;
(note: file threat1.gph not found)
(file threat1.gph saved)

.         /* Figure A.2 */
>         graph combine threat3.gph threat2.gph threat1.gph, col(1) scheme(s1mono);

.         graph save figA2, replace;
(note: file figA2.gph not found)
(file figA2.gph saved)

. /* Table A.11 */
>                 /* Democracy */
>                 /* Load data set*/
>                 use NiemanGibler_demdiff_ally, clear;

.                 /* Replicate Leeds et al to identify shared observations*/
>                 logit violate demdA wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA  
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(230 missing values generated)

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate Threat_combine num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -372.77708  
Iteration 2:   log pseudolikelihood = -367.83273  
Iteration 3:   log pseudolikelihood = -367.70816  
Iteration 4:   log pseudolikelihood = -367.70786  
Iteration 5:   log pseudolikelihood = -367.70786  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(8)      =      65.24
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -367.70786               Pseudo R2         =     0.0740

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    Threat_combine |   3.816064   .9123728     4.18   0.000     2.027846    5.604282
num_dems_on_border |  -.2475091   .1537371    -1.61   0.107    -.5488282      .05381
       num_borders |   .0107176   .0610642     0.18   0.861     -.108966    .1304012
           coldwar |  -.1150792   .2482717    -0.46   0.643    -.6016829    .3715245
       Lenergy_pop |   -.207067   .0707605    -2.93   0.003     -.345755   -.0683791
           Oil_exp |   .2951094   .3227682     0.91   0.361    -.3375045    .9277234
           maj_pow |   .5825582   .3626372     1.61   0.108    -.1281976    1.293314
         kgd_rival |    .273823   .3576697     0.77   0.444    -.4271967    .9748426
             _cons |   -5.21089   .3478612   -14.98   0.000    -5.892685   -4.529095
------------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;
(224 missing values generated)

.                 matrix B1 = e(b);

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /* Rerun on Leeds et al on same sample (GL) to get starting values */
>                 logit violate demdA wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA  
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 /* Estimate Initial Model Analysis with Threat as mediator and Dem as Treatment*/
>                 ml model lf spl_lf  
>                         (B: violate = demdA wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA  
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = Threat_combine num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 B1 , copy ;

.                 ml search;
initial:       log pseudolikelihood = -552.58135
rescale:       log pseudolikelihood = -339.41591
rescale eq:    log pseudolikelihood = -339.41591

.                 ml maximize, diff;

initial:       log pseudolikelihood = -339.41591
rescale:       log pseudolikelihood = -339.41591
rescale eq:    log pseudolikelihood = -339.41591
Iteration 0:   log pseudolikelihood = -339.41591  
Iteration 1:   log pseudolikelihood = -320.85386  (not concave)
Iteration 2:   log pseudolikelihood = -320.09709  (not concave)
Iteration 3:   log pseudolikelihood = -319.88688  (not concave)
Iteration 4:   log pseudolikelihood = -319.74128  (not concave)
Iteration 5:   log pseudolikelihood = -319.61773  (not concave)
Iteration 6:   log pseudolikelihood = -319.50174  (not concave)
Iteration 7:   log pseudolikelihood = -319.38252  (not concave)
Iteration 8:   log pseudolikelihood =  -319.2647  (not concave)
Iteration 9:   log pseudolikelihood = -319.14848  (not concave)
Iteration 10:  log pseudolikelihood = -319.03226  (not concave)
Iteration 11:  log pseudolikelihood = -318.91457  (not concave)
Iteration 12:  log pseudolikelihood = -318.79648  (not concave)
Iteration 13:  log pseudolikelihood = -318.67698  (not concave)
Iteration 14:  log pseudolikelihood = -318.55648  (not concave)
Iteration 15:  log pseudolikelihood = -318.43396  (not concave)
Iteration 16:  log pseudolikelihood = -318.31029  (not concave)
Iteration 17:  log pseudolikelihood = -318.18446  (not concave)
Iteration 18:  log pseudolikelihood = -318.05736  (not concave)
Iteration 19:  log pseudolikelihood = -317.92801  (not concave)
Iteration 20:  log pseudolikelihood = -317.79749  (not concave)
Iteration 21:  log pseudolikelihood = -317.66481  (not concave)
Iteration 22:  log pseudolikelihood = -317.53116  (not concave)
Iteration 23:  log pseudolikelihood = -317.39554  (not concave)
Iteration 24:  log pseudolikelihood = -317.25927  (not concave)
Iteration 25:  log pseudolikelihood = -317.12135  (not concave)
Iteration 26:  log pseudolikelihood = -316.98316  (not concave)
Iteration 27:  log pseudolikelihood = -316.84372  (not concave)
Iteration 28:  log pseudolikelihood = -316.70446  (not concave)
Iteration 29:  log pseudolikelihood = -316.56438  (not concave)
Iteration 30:  log pseudolikelihood = -316.42495  (not concave)
Iteration 31:  log pseudolikelihood = -316.28516  (not concave)
Iteration 32:  log pseudolikelihood = -316.14648  (not concave)
Iteration 33:  log pseudolikelihood = -316.00787  (not concave)
Iteration 34:  log pseudolikelihood = -315.87078  
Iteration 35:  log pseudolikelihood = -311.47677  
Iteration 36:  log pseudolikelihood = -307.61324  
Iteration 37:  log pseudolikelihood = -306.89181  
Iteration 38:  log pseudolikelihood = -306.81445  
Iteration 39:  log pseudolikelihood = -306.79346  
Iteration 40:  log pseudolikelihood = -306.79328  
Iteration 41:  log pseudolikelihood = -306.79328  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      38.87
Log pseudolikelihood = -306.79328               Prob > chi2       =     0.0002

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
             demdA |   1.369343   1.884778     0.73   0.468    -2.324754     5.06344
        wcchangedA |   5.537012   5.376058     1.03   0.303    -4.999867    16.07389
     capcheither20 |   2.981752   2.149826     1.39   0.165    -1.231829    7.195334
   regchangeeither |   1.698887   1.247073     1.36   0.173    -.7453316    4.143105
      chTEAltorBmt |   .7564242    1.22319     0.62   0.536    -1.640985    3.153833
           alformA |   2.433114   1.543298     1.58   0.115    -.5916939    5.457922
         asymmetry |  -1.628514   .8958382    -1.82   0.069    -3.384324    .1272969
          nomicoop |  -2.655411   1.195982    -2.22   0.026    -4.999493   -.3113291
            treaty |   1.545885   2.301895     0.67   0.502    -2.965746    6.057516
           milinst |   4.945486   2.325103     2.13   0.033     .3883676    9.502604
              time |  -.1213799   .2685519    -0.45   0.651     -.647732    .4049722
        timesquare |  -.0027438   .0100283    -0.27   0.784    -.0223988    .0169113
          timecube |   .0000848   .0001224     0.69   0.489    -.0001551    .0003246
             _cons |  -3.229341    1.49492    -2.16   0.031    -6.159331   -.2993505
-------------------+----------------------------------------------------------------
G                  |
    Threat_combine |   4.115597   .9932505     4.14   0.000     2.168862    6.062332
num_dems_on_border |  -.2907907   .1220496    -2.38   0.017    -.5300034    -.051578
       num_borders |   .1209019    .061761     1.96   0.050    -.0001473    .2419512
           coldwar |   .4496767   .3050632     1.47   0.140    -.1482362     1.04759
       Lenergy_pop |  -.1530304   .0830581    -1.84   0.065    -.3158214    .0097605
           Oil_exp |   .6741905   .5050256     1.33   0.182    -.3156415    1.664023
           maj_pow |   .4164217   .5096206     0.82   0.414    -.5824162     1.41526
         kgd_rival |   .0035716   .3975624     0.01   0.993    -.7756364    .7827795
             _cons |  -4.982936   .5483201    -9.09   0.000    -6.057623   -3.908248
------------------------------------------------------------------------------------

.                         estout , cells("b(star fmt(3)) se(par fmt(3))" ) starlevels(* .05 ) style(tex);

            &           . &            \\
            &           b &          se\\
B           &             &            \\
demdA       &       1.369 &     (1.885)\\
wcchangedA  &       5.537 &     (5.376)\\
capcheither20&       2.982 &     (2.150)\\
regchangeeither&       1.699 &     (1.247)\\
chTEAltorBmt&       0.756 &     (1.223)\\
alformA     &       2.433 &     (1.543)\\
asymmetry   &      -1.629 &     (0.896)\\
nomicoop    &      -2.655*&     (1.196)\\
treaty      &       1.546 &     (2.302)\\
milinst     &       4.945*&     (2.325)\\
time        &      -0.121 &     (0.269)\\
timesquare  &      -0.003 &     (0.010)\\
timecube    &       0.000 &     (0.000)\\
_cons       &      -3.229*&     (1.495)\\
G           &             &            \\
Threat_combine&       4.116*&     (0.993)\\
num_dems_on_border&      -0.291*&     (0.122)\\
num_borders &       0.121 &     (0.062)\\
coldwar     &       0.450 &     (0.305)\\
Lenergy_pop &      -0.153 &     (0.083)\\
Oil_exp     &       0.674 &     (0.505)\\
maj_pow     &       0.416 &     (0.510)\\
kgd_rival   &       0.004 &     (0.398)\\
_cons       &      -4.983*&     (0.548)\\

.                         estimates store DemA;

.                         matrix Total_B = e(b);

.                         matrix Total_V = e(V);

.                 /* Mediator equation */ 
>                 reg Threat_combine demdA wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA  
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                          num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv if GL==1, robust cluster (atopidphase);

Linear regression                               Number of obs     =      6,395
                                                F(20, 222)        =      90.91
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5104
                                                Root MSE          =     .08877

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
    Threat_combine |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
             demdA |  -.0124257   .0105605    -1.18   0.241    -.0332374     .008386
        wcchangedA |   .0055438   .0052033     1.07   0.288    -.0047104     .015798
     capcheither20 |   .0106204   .0056097     1.89   0.060    -.0004347    .0216756
   regchangeeither |  -.0096498   .0054594    -1.77   0.079    -.0204086    .0011091
      chTEAltorBmt |  -.0012475    .004518    -0.28   0.783    -.0101513    .0076562
           alformA |   .0109783   .0034303     3.20   0.002     .0042181    .0177385
         asymmetry |   .0080351   .0069408     1.16   0.248    -.0056431    .0217133
          nomicoop |   .0198898   .0089803     2.21   0.028     .0021922    .0375874
            treaty |  -.0242651   .0117523    -2.06   0.040    -.0474255   -.0011047
           milinst |  -.0085458   .0053705    -1.59   0.113    -.0191294    .0020379
              time |  -.0047025   .0015476    -3.04   0.003    -.0077523   -.0016527
        timesquare |   .0002434   .0000868     2.80   0.006     .0000723    .0004145
          timecube |  -3.25e-06   1.28e-06    -2.54   0.012    -5.77e-06   -7.28e-07
num_dems_on_border |  -.0188142   .0026943    -6.98   0.000    -.0241239   -.0135045
       num_borders |   .0247039   .0015509    15.93   0.000     .0216475    .0277604
           coldwar |  -.0047645   .0067263    -0.71   0.479    -.0180201    .0084912
       Lenergy_pop |  -.0040485   .0021297    -1.90   0.059    -.0082455    .0001485
           Oil_exp |   .0081733    .008977     0.91   0.364    -.0095177    .0258643
           maj_pow |   .0009688   .0119431     0.08   0.935    -.0225677    .0245052
         kgd_rival |   .0642364   .0067445     9.52   0.000      .050945    .0775278
             _cons |  -.0063425   .0161369    -0.39   0.695    -.0381436    .0254587
------------------------------------------------------------------------------------

.                 estimates store Mediator;

.                 matrix Mediator_B = e(b);

.                 matrix Mediator_V = e(V);

.                                 /*Quantities of Interest using Algorithm 1 from Imai, Keele, and Tingley 2010, p 317. */
>                 /* Step 1: Fit models, done above */
>                 /* Step 2: Simulate model parameters from sampling distribution */
>                 keep if GL==1;
(447 observations deleted)

.                 expand 1000;
(6,388,605 observations created)

.                 drawnorm m1 m2 m3 m4 m5 m6 m7 m8 m9 m10 m11 m12 m13 m14 m15 m16 m17 m18 m19 m20 m0, mean(Mediator_B) cov(Mediator_V);

.                 drawnorm p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 p01 p14 p15 p16 p17 p18 p19 p20 p21 p02, mean(Total_B) cov(Total_V);

.                 /* Step 3 Part 1: Simulate Potential values of Mediator*/
>                 gen Sim_Mediator_T= m0 + m1*demdA + m2*wcchangedA + m3*capcheither20 + m4*regchangeeither + m5*chTEAltorBmt 
>                         + m6*alformA + m7*asymmetry + m8*nomicoop + m9*treaty + m10*milinst + m11*time + m12*timesquare + m13*timecube
>                         + m14*num_dems_on_border + m15*num_borders + m16*cold + m17*Lenergy_pop + m18*Oil_exp +m19*maj_pow + m20*kgd_riv;

.                 gen Sim_Mediator_C= m0 +  m2*wcchangedA + m3*capcheither20 + m4*regchangeeither + m5*chTEAltorBmt 
>                         + m6*alformA + m7*asymmetry + m8*nomicoop + m9*treaty + m10*milinst + m11*time + m12*timesquare + m13*timecube
>                         + m14*num_dems_on_border + m15*num_borders + m16*cold + m17*Lenergy_pop + m18*Oil_exp +m19*maj_pow + m20*kgd_riv;

.                 /* Step 3 Part 2: Simulate Potential Outcomes with simulated mediator values */
>                 gen Sim_PO_T_MT = (1/(1+exp(-(p1*demdA + p2*wcchangedA + p3*capcheither20 + p4*regchangeeither + p5*chTEAltorBmt + p6*alformA  
>                         + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                         (1/(1+exp(-(p14*Sim_Mediator_T + p15*num_dems_on_border +p16*num_borders + p17*cold + p18*Lenergy_pop 
>                         + p19*Oil_exp + p20*maj_pow +p21*kgd_riv+ p02))));

.                 gen Sim_PO_T_MC = (1/(1+exp(-(p1*demdA + p2*wcchangedA + p3*capcheither20 + p4*regchangeeither + p5*chTEAltorBmt + p6*alformA  
>                         + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                         (1/(1+exp(-(p14*Sim_Mediator_C + p15*num_dems_on_border +p16*num_borders + p17*cold + p18*Lenergy_pop 
>                         + p19*Oil_exp + p20*maj_pow +p21*kgd_riv+ p02))));

.                 gen Sim_PO_C_MT = (1/(1+exp(-( p2*wcchangedA + p3*capcheither20 + p4*regchangeeither + p5*chTEAltorBmt + p6*alformA  
>                         + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                         (1/(1+exp(-(p14*Sim_Mediator_T + p15*num_dems_on_border +p16*num_borders + p17*cold + p18*Lenergy_pop 
>                         + p19*Oil_exp + p20*maj_pow +p21*kgd_riv+ p02))));

.                 gen Sim_PO_C_MC = (1/(1+exp(-( p2*wcchangedA + p3*capcheither20 + p4*regchangeeither + p5*chTEAltorBmt + p6*alformA  
>                         + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                         (1/(1+exp(-(p14*Sim_Mediator_C + p15*num_dems_on_border +p16*num_borders + p17*cold + p18*Lenergy_pop 
>                         + p19*Oil_exp + p20*maj_pow +p21*kgd_riv+ p02))));

.                 /* Step 4: Calculate quantities of interest--Mediation, Direct, Total Effects for T,C conditions */                     
>                 gen C_Med_T = Sim_PO_T_MT - Sim_PO_T_MC;

.                 gen C_Med_C = Sim_PO_C_MT - Sim_PO_C_MC;

.                 gen C_Med_Avg = (C_Med_T+C_Med_C)/2;

.                 gen C_Dir_T = Sim_PO_T_MT - Sim_PO_C_MT;

.                 gen C_Dir_C = Sim_PO_T_MC - Sim_PO_C_MC;

.                 gen C_Dir_Avg = (C_Dir_T+C_Dir_C)/2;

.                 gen C_Tot_T = C_Med_T + C_Dir_T;

.                 gen C_Tot_C = C_Med_C + C_Dir_C;

.                 gen C_Tot_Avg = (C_Tot_T+C_Tot_C)/2;

.                 collapse (mean) C_Med_T C_Med_C C_Med_Avg C_Dir_T C_Dir_C C_Dir_Avg C_Tot_T C_Tot_C C_Tot_Avg
>                                  (sd) C_Med_T_sd=C_Med_T C_Med_C_sd=C_Med_C C_Med_Avg_sd=C_Med_Avg
>                                           C_Dir_T_sd=C_Dir_T C_Dir_C_sd=C_Dir_C C_Dir_Avg_sd=C_Dir_Avg
>                                           C_Tot_T_sd=C_Tot_T C_Tot_C_sd=C_Tot_C C_Tot_Avg_sd=C_Tot_Avg;

.                 sum C_Med_T C_Med_T_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Med_T |          1   -.0001212           .  -.0001212  -.0001212
  C_Med_T_sd |          1    .0004186           .   .0004186   .0004186

.                 sum C_Med_C C_Med_C_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Med_C |          1   -.0001015           .  -.0001015  -.0001015
  C_Med_C_sd |          1    .0003747           .   .0003747   .0003747

.                 sum C_Med_Avg C_Med_Avg_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   C_Med_Avg |          1   -.0001113           .  -.0001113  -.0001113
C_Med_Avg_sd |          1      .00039           .     .00039     .00039

.                 sum C_Dir_T C_Dir_T_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Dir_T |          1    .0003335           .   .0003335   .0003335
  C_Dir_T_sd |          1    .0020539           .   .0020539   .0020539

.                 sum C_Dir_C C_Dir_C_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Dir_C |          1    .0003531           .   .0003531   .0003531
  C_Dir_C_sd |          1    .0021663           .   .0021663   .0021663

.                 sum C_Dir_Avg C_Dir_Avg_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   C_Dir_Avg |          1    .0003433           .   .0003433   .0003433
C_Dir_Avg_sd |          1    .0021095           .   .0021095   .0021095

.                                 sum C_Tot_T C_Tot_T_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Tot_T |          1    .0002123           .   .0002123   .0002123
  C_Tot_T_sd |          1    .0019653           .   .0019653   .0019653

.                 sum C_Tot_C C_Tot_C_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Tot_C |          1    .0002516           .   .0002516   .0002516
  C_Tot_C_sd |          1    .0021774           .   .0021774   .0021774

.                 sum C_Tot_Avg C_Tot_Avg_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   C_Tot_Avg |          1     .000232           .    .000232    .000232
C_Tot_Avg_sd |          1    .0020685           .   .0020685   .0020685

.                                                         /* Democratic Allies*/  
>                 /* Load data set*/
>                 use NiemanGibler_demdiff_ally, clear;

.                 /* Generate indicator whether an alliance consists of two democratic members */
>                 gen DemAlliance = 0;

.                         replace DemAlliance=1 if demdA==1 & demdB==1;
(852 real changes made)

.                 /* Replicate Leeds et al to identify shared observations*/
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                         , robust cluster(atopidphase);

Iteration 0:   log pseudolikelihood = -387.99838  
Iteration 1:   log pseudolikelihood = -365.94879  
Iteration 2:   log pseudolikelihood = -352.46294  
Iteration 3:   log pseudolikelihood = -352.39382  
Iteration 4:   log pseudolikelihood = -352.39377  
Iteration 5:   log pseudolikelihood = -352.39377  

Logistic regression                             Number of obs     =      6,612
                                                Wald chi2(13)     =      87.50
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -352.39377               Pseudo R2         =     0.0918

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |   .8887726   .4360017     2.04   0.042      .034225     1.74332
  capcheither20 |   .8031506   .3303636     2.43   0.015     .1556499    1.450651
regchangeeither |   .1307584   .3076127     0.43   0.671    -.4721514    .7336682
   chTEAltorBmt |   .4211639   .2704212     1.56   0.119    -.1088519    .9511798
        alformA |   1.069867   .2533108     4.22   0.000     .5733865    1.566347
          demdA |  -1.322405   .3928941    -3.37   0.001    -2.092463   -.5523467
      asymmetry |  -.4079564    .259061    -1.57   0.115    -.9157066    .0997939
       nomicoop |  -.7456285   .2574683    -2.90   0.004    -1.250257   -.2409999
         treaty |  -.0826596   .3543504    -0.23   0.816    -.7771735    .6118543
        milinst |   .5569792   .1798905     3.10   0.002     .2044004     .909558
           time |  -.0864409   .0766854    -1.13   0.260    -.2367416    .0638597
     timesquare |   .0008638   .0043956     0.20   0.844    -.0077515    .0094791
       timecube |   .0000152   .0000659     0.23   0.817    -.0001139    .0001443
          _cons |  -4.448444   .4404076   -10.10   0.000    -5.311627   -3.585261
---------------------------------------------------------------------------------

.                 gen LMV=1 if e(sample)==1;
(230 missing values generated)

.                 /* Run Relevancy equation to identify shared observations*/
>                 logit violate Threat_combine DemAlliance num_dems_on_border  num_borders  cold 
>                         Lenergy_pop Oil_exp  maj_pow kgd_riv , cluster(atopidphase) robust;

Iteration 0:   log pseudolikelihood = -397.11044  
Iteration 1:   log pseudolikelihood = -372.74088  
Iteration 2:   log pseudolikelihood = -367.79138  
Iteration 3:   log pseudolikelihood = -367.66626  
Iteration 4:   log pseudolikelihood = -367.66594  
Iteration 5:   log pseudolikelihood = -367.66594  

Logistic regression                             Number of obs     =      6,618
                                                Wald chi2(9)      =      65.79
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -367.66594               Pseudo R2         =     0.0741

                                (Std. Err. adjusted for 234 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
           violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
    Threat_combine |   3.803378    .906109     4.20   0.000     2.027437    5.579318
       DemAlliance |  -.1428805   .4937044    -0.29   0.772    -1.110523    .8247624
num_dems_on_border |  -.2428099   .1566819    -1.55   0.121    -.5499009     .064281
       num_borders |   .0066106    .063298     0.10   0.917    -.1174512    .1306725
           coldwar |  -.1185123   .2499653    -0.47   0.635    -.6084353    .3714108
       Lenergy_pop |  -.2039177   .0725346    -2.81   0.005    -.3460829   -.0617525
           Oil_exp |   .2864243   .3232066     0.89   0.376     -.347049    .9198977
           maj_pow |   .5902008   .3615918     1.63   0.103    -.1185061    1.298908
         kgd_rival |   .2822755   .3583583     0.79   0.431    -.4200939     .984645
             _cons |  -5.183101   .3614244   -14.34   0.000     -5.89148   -4.474722
------------------------------------------------------------------------------------

.                 gen GT=1 if e(sample)==1;
(224 missing values generated)

.                 matrix B1 = e(b);

.                 /*Idenity cases in both samples*/
>                 gen GL=0;

.                 replace GL=1 if GT==1 & LMV==1;
(6,395 real changes made)

.                 /* Rerun on Leeds et al on same sample (GL) to get starting values */
>                 logit violate wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube if GL==1
>                         , robust cluster (atopidphase);

Iteration 0:   log pseudolikelihood = -376.61313  
Iteration 1:   log pseudolikelihood =  -355.4945  
Iteration 2:   log pseudolikelihood = -340.04896  
Iteration 3:   log pseudolikelihood = -339.98841  
Iteration 4:   log pseudolikelihood = -339.98837  
Iteration 5:   log pseudolikelihood = -339.98837  

Logistic regression                             Number of obs     =      6,395
                                                Wald chi2(13)     =      87.13
                                                Prob > chi2       =     0.0000
Log pseudolikelihood = -339.98837               Pseudo R2         =     0.0972

                             (Std. Err. adjusted for 223 clusters in atopidphase)
---------------------------------------------------------------------------------
                |               Robust
        violate |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
     wcchangedA |    .909608   .4443062     2.05   0.041     .0387838    1.780432
  capcheither20 |   .8772921   .3395701     2.58   0.010      .211747    1.542837
regchangeeither |   .1951832   .3076624     0.63   0.526    -.4078241    .7981905
   chTEAltorBmt |   .4251498   .2781558     1.53   0.126    -.1200255    .9703251
        alformA |   1.063735   .2606154     4.08   0.000     .5529379    1.574531
          demdA |  -1.341269   .4006138    -3.35   0.001    -2.126457   -.5560801
      asymmetry |  -.5026752   .2646211    -1.90   0.057    -1.021323    .0159726
       nomicoop |  -.7462648   .2606457    -2.86   0.004    -1.257121   -.2354087
         treaty |  -.1335719   .3552336    -0.38   0.707    -.8298171    .5626732
        milinst |   .5747953   .1859543     3.09   0.002     .2103315     .939259
           time |  -.0692453   .0763633    -0.91   0.365    -.2189147    .0804241
     timesquare |   -.000215   .0043416    -0.05   0.961    -.0087243    .0082943
       timecube |   .0000306   .0000643     0.48   0.634    -.0000954    .0001565
          _cons |  -4.464314   .4547396    -9.82   0.000    -5.355588   -3.573041
---------------------------------------------------------------------------------

.                 matrix B2 = e(b);

.                 /* Estimate Initial Model Analysis with Threat as mediator and Dem Ally as Treatment*/
>                 ml model lf spl_lf  
>                         (B: violate = wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube)
>                         (G: violate = Threat_combine DemAlliance num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv  ) if GL==1 
>                         , robust cluster(atopidphase) tech(nr);

.                 ml init B2 B1 , copy ;

.                 ml search;
initial:       log pseudolikelihood = -552.56912
rescale:       log pseudolikelihood = -339.45416
rescale eq:    log pseudolikelihood = -339.45416

.                 ml maximize, diff;

initial:       log pseudolikelihood = -339.45416
rescale:       log pseudolikelihood = -339.45416
rescale eq:    log pseudolikelihood = -339.45416
Iteration 0:   log pseudolikelihood = -339.45416  
Iteration 1:   log pseudolikelihood = -320.22835  (not concave)
Iteration 2:   log pseudolikelihood = -319.36629  (not concave)
Iteration 3:   log pseudolikelihood =  -319.1599  (not concave)
Iteration 4:   log pseudolikelihood = -318.96306  (not concave)
Iteration 5:   log pseudolikelihood =  -318.7958  (not concave)
Iteration 6:   log pseudolikelihood = -318.63616  (not concave)
Iteration 7:   log pseudolikelihood = -318.47842  (not concave)
Iteration 8:   log pseudolikelihood =  -318.3205  (not concave)
Iteration 9:   log pseudolikelihood = -318.16271  (not concave)
Iteration 10:  log pseudolikelihood = -318.00625  (not concave)
Iteration 11:  log pseudolikelihood = -317.84864  (not concave)
Iteration 12:  log pseudolikelihood = -317.69068  (not concave)
Iteration 13:  log pseudolikelihood = -317.53149  (not concave)
Iteration 14:  log pseudolikelihood = -317.37231  (not concave)
Iteration 15:  log pseudolikelihood = -317.21165  (not concave)
Iteration 16:  log pseudolikelihood = -317.05088  (not concave)
Iteration 17:  log pseudolikelihood = -316.88892  (not concave)
Iteration 18:  log pseudolikelihood = -316.72728  (not concave)
Iteration 19:  log pseudolikelihood = -316.56475  (not concave)
Iteration 20:  log pseudolikelihood = -316.40294  (not concave)
Iteration 21:  log pseudolikelihood = -316.24072  (not concave)
Iteration 22:  log pseudolikelihood = -316.07976  (not concave)
Iteration 23:  log pseudolikelihood = -315.91889  (not concave)
Iteration 24:  log pseudolikelihood = -315.75978  (not concave)
Iteration 25:  log pseudolikelihood = -315.60127  (not concave)
Iteration 26:  log pseudolikelihood = -315.44501  
Iteration 27:  log pseudolikelihood = -312.77947  
Iteration 28:  log pseudolikelihood =  -306.9494  (not concave)
Iteration 29:  log pseudolikelihood = -306.70322  (not concave)
Iteration 30:  log pseudolikelihood = -306.64062  (not concave)
Iteration 31:  log pseudolikelihood = -306.57812  
Iteration 32:  log pseudolikelihood = -306.24156  
Iteration 33:  log pseudolikelihood = -306.17426  
Iteration 34:  log pseudolikelihood = -306.17349  
Iteration 35:  log pseudolikelihood = -306.17348  

                                                Number of obs     =      6,395
                                                Wald chi2(13)     =      41.05
Log pseudolikelihood = -306.17348               Prob > chi2       =     0.0001

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
                   |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
B                  |
        wcchangedA |   5.331119   6.029369     0.88   0.377    -6.486226    17.14846
     capcheither20 |   2.856497   1.955754     1.46   0.144    -.9767107    6.689705
   regchangeeither |   1.644374   1.147494     1.43   0.152    -.6046721     3.89342
      chTEAltorBmt |   .8195087   1.175771     0.70   0.486     -1.48496    3.123977
           alformA |   2.361633   1.383204     1.71   0.088    -.3493966    5.072663
             demdA |   1.633471   1.874624     0.87   0.384    -2.040723    5.307666
         asymmetry |  -1.542248    .907315    -1.70   0.089    -3.320553    .2360566
          nomicoop |  -2.535325   1.160659    -2.18   0.029    -4.810175   -.2604758
            treaty |   1.435046    2.27354     0.63   0.528    -3.021012    5.891103
           milinst |   5.116829    2.00834     2.55   0.011     1.180554    9.053104
              time |  -.1238618   .2612816    -0.47   0.635    -.6359644    .3882407
        timesquare |  -.0021954   .0102454    -0.21   0.830     -.022276    .0178853
          timecube |   .0000765    .000127     0.60   0.547    -.0001725    .0003255
             _cons |  -3.264704   1.483757    -2.20   0.028    -6.172815    -.356593
-------------------+----------------------------------------------------------------
G                  |
    Threat_combine |   4.054944   .9784404     4.14   0.000     2.137236    5.972652
       DemAlliance |  -.5478674   .5138144    -1.07   0.286    -1.554925    .4591903
num_dems_on_border |    -.28288   .1222867    -2.31   0.021    -.5225575   -.0432026
       num_borders |   .1113381   .0607117     1.83   0.067    -.0076547    .2303309
           coldwar |   .4380284   .3010526     1.45   0.146    -.1520239    1.028081
       Lenergy_pop |  -.1392437    .087742    -1.59   0.113    -.3112148    .0327275
           Oil_exp |   .6108143   .5045602     1.21   0.226    -.3781054    1.599734
           maj_pow |   .4162998   .5284924     0.79   0.431    -.6195263    1.452126
         kgd_rival |   .0235823   .3953619     0.06   0.952    -.7513128    .7984773
             _cons |  -4.848595   .5740071    -8.45   0.000    -5.973628   -3.723562
------------------------------------------------------------------------------------

.                         estout , cells("b(star fmt(3)) se(par fmt(3))" ) starlevels(* .05 ) style(tex);

            &           . &            \\
            &           b &          se\\
B           &             &            \\
wcchangedA  &       5.331 &     (6.029)\\
capcheither20&       2.856 &     (1.956)\\
regchangeeither&       1.644 &     (1.147)\\
chTEAltorBmt&       0.820 &     (1.176)\\
alformA     &       2.362 &     (1.383)\\
demdA       &       1.633 &     (1.875)\\
asymmetry   &      -1.542 &     (0.907)\\
nomicoop    &      -2.535*&     (1.161)\\
treaty      &       1.435 &     (2.274)\\
milinst     &       5.117*&     (2.008)\\
time        &      -0.124 &     (0.261)\\
timesquare  &      -0.002 &     (0.010)\\
timecube    &       0.000 &     (0.000)\\
_cons       &      -3.265*&     (1.484)\\
G           &             &            \\
Threat_combine&       4.055*&     (0.978)\\
DemAlliance &      -0.548 &     (0.514)\\
num_dems_on_border&      -0.283*&     (0.122)\\
num_borders &       0.111 &     (0.061)\\
coldwar     &       0.438 &     (0.301)\\
Lenergy_pop &      -0.139 &     (0.088)\\
Oil_exp     &       0.611 &     (0.505)\\
maj_pow     &       0.416 &     (0.528)\\
kgd_rival   &       0.024 &     (0.395)\\
_cons       &      -4.849*&     (0.574)\\

.                         estimates store DemAllies;

.                         matrix Total_B = e(b);

.                         matrix Total_V = e(V);

.                 /* Mediator equation */ 
>                 reg Threat_combine DemAlliance wcchangedA capcheither20 regchangeeither chTEAltorBmt alformA demdA 
>                         asymmetry  nomicoop treaty milinst time timesquare timecube
>                          num_dems_on_border   num_borders  
>                          cold Lenergy_pop Oil_exp maj_pow kgd_riv if GL==1, robust cluster (atopidphase);

Linear regression                               Number of obs     =      6,395
                                                F(21, 222)        =      86.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.5116
                                                Root MSE          =     .08867

                                (Std. Err. adjusted for 223 clusters in atopidphase)
------------------------------------------------------------------------------------
                   |               Robust
    Threat_combine |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       DemAlliance |    .016982   .0113459     1.50   0.136    -.0053775    .0393415
        wcchangedA |   .0048578   .0052521     0.92   0.356    -.0054925    .0152081
     capcheither20 |   .0107781   .0056032     1.92   0.056    -.0002641    .0218204
   regchangeeither |   -.008982   .0054992    -1.63   0.104    -.0198193    .0018552
      chTEAltorBmt |  -.0014388   .0045229    -0.32   0.751    -.0103521    .0074745
           alformA |   .0112322   .0034322     3.27   0.001     .0044683     .017996
             demdA |  -.0201286   .0121203    -1.66   0.098    -.0440142     .003757
         asymmetry |   .0077134   .0069884     1.10   0.271    -.0060586    .0214855
          nomicoop |   .0189283   .0091301     2.07   0.039     .0009354    .0369211
            treaty |  -.0233954   .0117811    -1.99   0.048    -.0466125   -.0001784
           milinst |  -.0091247   .0052145    -1.75   0.082    -.0194009    .0011515
              time |  -.0047492   .0015505    -3.06   0.002    -.0078049   -.0016936
        timesquare |   .0002458   .0000868     2.83   0.005     .0000746    .0004169
          timecube |  -3.32e-06   1.28e-06    -2.59   0.010    -5.85e-06   -7.99e-07
num_dems_on_border |  -.0184848   .0028319    -6.53   0.000    -.0240657    -.012904
       num_borders |   .0245353   .0015386    15.95   0.000     .0215032    .0275675
           coldwar |  -.0038115   .0067855    -0.56   0.575    -.0171837    .0095607
       Lenergy_pop |  -.0040703   .0021281    -1.91   0.057    -.0082643    .0001236
           Oil_exp |   .0083851   .0089198     0.94   0.348    -.0091932    .0259634
           maj_pow |   .0027106   .0117846     0.23   0.818    -.0205134    .0259347
         kgd_rival |   .0637119   .0067473     9.44   0.000     .0504149    .0770089
             _cons |  -.0063212   .0160889    -0.39   0.695    -.0380278    .0253853
------------------------------------------------------------------------------------

.                 estimates store Mediator;

.                 matrix Mediator_B = e(b);

.                 matrix Mediator_V = e(V);

.                 /*Quantities of Interest using Algorithm 1 from Imai, Keele, and Tingley 2010, p 317. */
>                 /* Step 1: Fit models, done above */
>                 /* Step 2: Simulate model parameters from sampling distribution */
>                 keep if GL==1;
(447 observations deleted)

.                         expand 1000;
(6,388,605 observations created)

.                         drawnorm m1 m2 m3 m4 m5 m6 m7 m8 m9 m10 m11 m12 m13 m14 m15 m16 m17 m18 m19 m20 m21 m0, mean(Mediator_B) cov(Mediator_V);

.                         drawnorm p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 p01 p14 p15 p16 p17 p18 p19 p20 p21 p22 p02, mean(Total_B) cov(Total_V);

.                         /* Step 3 Part 1: Simulate Potential values of Mediator*/
>                         gen Sim_Mediator_T= m0 + m1*DemAlliance + m2*wcchangedA + m3*capcheither20 + m4*regchangeeither + m5*chTEAltorBmt 
>                                 + m6*alformA + m7*demdA + m8*asymmetry + m9*nomicoop + m10*treaty + m11*milinst + m12*time + m13*timesquare + m14*timecube
>                                 + m15*num_dems_on_border + m16*num_borders + m17*cold + m18*Lenergy_pop + m19*Oil_exp +m20*maj_pow + m21*kgd_riv;

.                         gen Sim_Mediator_C= m0 +  m2*wcchangedA + m3*capcheither20 + m4*regchangeeither + m5*chTEAltorBmt 
>                                 + m6*alformA + m7*demdA + m8*asymmetry + m9*nomicoop + m10*treaty + m11*milinst + m12*time + m13*timesquare + m14*timecube
>                                 + m15*num_dems_on_border + m16*num_borders + m17*cold + m18*Lenergy_pop + m19*Oil_exp +m20*maj_pow + m21*kgd_riv;

.                 /* Step 3 Part 2: Simulate Potential Outcomes with simulated mediator values */
>                         gen Sim_PO_T_MT = (1/(1+exp(-(p1*wcchangedA + p2*capcheither20 + p3*regchangeeither + p4*chTEAltorBmt + p5*alformA + p6*demdA 
>                                 + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                                 (1/(1+exp(-(p14*Sim_Mediator_T + p15*DemAlliance + p16*num_dems_on_border +p17*num_borders + p18*cold + p19*Lenergy_pop 
>                                 + p20*Oil_exp + p21*maj_pow +p22*kgd_riv+ p02))));

.                         gen Sim_PO_T_MC = (1/(1+exp(-(p1*wcchangedA + p2*capcheither20 + p3*regchangeeither + p4*chTEAltorBmt + p5*alformA + p6*demdA 
>                                 + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                                 (1/(1+exp(-(p14*Sim_Mediator_C + p15*DemAlliance + p16*num_dems_on_border +p17*num_borders + p18*cold + p19*Lenergy_pop 
>                                 + p20*Oil_exp + p21*maj_pow +p22*kgd_riv+ p02))));

.                         gen Sim_PO_C_MT = (1/(1+exp(-( p2*capcheither20 + p3*regchangeeither + p4*chTEAltorBmt + p5*alformA + p6*demdA 
>                                 + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                                 (1/(1+exp(-(p14*Sim_Mediator_T + p15*DemAlliance + p16*num_dems_on_border +p17*num_borders + p18*cold + p19*Lenergy_pop 
>                                 + p20*Oil_exp + p21*maj_pow +p22*kgd_riv+ p02))));

.                         gen Sim_PO_C_MC = (1/(1+exp(-( p2*capcheither20 + p3*regchangeeither + p4*chTEAltorBmt + p5*alformA + p6*demdA 
>                                 + p7*asymmetry + p8*nomicoop + p9*treaty + p10*milinst + p11*time + p12*timesquare + p13*timecube + p01))))*
>                                 (1/(1+exp(-(p14*Sim_Mediator_C + p15*DemAlliance + p16*num_dems_on_border +p17*num_borders + p18*cold + p19*Lenergy_pop 
>                                 + p20*Oil_exp + p21*maj_pow +p22*kgd_riv+ p02))));

.                 /* Step 4: Calculate quantities of interest--Mediation, Direct, Total Effects for T,C conditions */                     
>                         gen C_Med_T = Sim_PO_T_MT - Sim_PO_T_MC;

.                         gen C_Med_C = Sim_PO_C_MT - Sim_PO_C_MC;

.                         gen C_Med_Avg = (C_Med_T+C_Med_C)/2;

.                         gen C_Dir_T = Sim_PO_T_MT - Sim_PO_C_MT;

.                         gen C_Dir_C = Sim_PO_T_MC - Sim_PO_C_MC;

.                         gen C_Dir_Avg = (C_Dir_T+C_Dir_C)/2;

.                         gen C_Tot_T = C_Med_T + C_Dir_T;

.                         gen C_Tot_C = C_Med_C + C_Dir_C;

.                         gen C_Tot_Avg = (C_Tot_T+C_Tot_C)/2;

.                         collapse (mean) C_Med_T C_Med_C C_Med_Avg C_Dir_T C_Dir_C C_Dir_Avg C_Tot_T C_Tot_C C_Tot_Avg
>                                          (sd) C_Med_T_sd=C_Med_T C_Med_C_sd=C_Med_C C_Med_Avg_sd=C_Med_Avg
>                                                   C_Dir_T_sd=C_Dir_T C_Dir_C_sd=C_Dir_C C_Dir_Avg_sd=C_Dir_Avg
>                                                   C_Tot_T_sd=C_Tot_T C_Tot_C_sd=C_Tot_C C_Tot_Avg_sd=C_Tot_Avg;

.                         sum C_Med_T C_Med_T_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Med_T |          1    .0000535           .   .0000535   .0000535
  C_Med_T_sd |          1    .0002758           .   .0002758   .0002758

.                         sum C_Med_C C_Med_C_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Med_C |          1    .0000482           .   .0000482   .0000482
  C_Med_C_sd |          1    .0002408           .   .0002408   .0002408

.                         sum C_Med_Avg C_Med_Avg_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   C_Med_Avg |          1    .0000509           .   .0000509   .0000509
C_Med_Avg_sd |          1    .0002525           .   .0002525   .0002525

.                         sum C_Dir_T C_Dir_T_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Dir_T |          1    .0004019           .   .0004019   .0004019
  C_Dir_T_sd |          1    .0044374           .   .0044374   .0044374

.                         sum C_Dir_C C_Dir_C_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Dir_C |          1    .0003966           .   .0003966   .0003966
  C_Dir_C_sd |          1    .0044096           .   .0044096   .0044096

.                         sum C_Dir_Avg C_Dir_Avg_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   C_Dir_Avg |          1    .0003992           .   .0003992   .0003992
C_Dir_Avg_sd |          1    .0044232           .   .0044232   .0044232

.                                         sum C_Tot_T C_Tot_T_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Tot_T |          1    .0004554           .   .0004554   .0004554
  C_Tot_T_sd |          1    .0044765           .   .0044765   .0044765

.                         sum C_Tot_C C_Tot_C_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
     C_Tot_C |          1    .0004448           .   .0004448   .0004448
  C_Tot_C_sd |          1    .0044171           .   .0044171   .0044171

.                         sum C_Tot_Avg C_Tot_Avg_sd;

    Variable |        Obs        Mean    Std. Dev.       Min        Max
-------------+---------------------------------------------------------
   C_Tot_Avg |          1    .0004501           .   .0004501   .0004501
C_Tot_Avg_sd |          1    .0044454           .   .0044454   .0044454

.                                 /* Table A.11 Results 
>         (quantities of interest for lower part of table from Step 4 for Dem and Dem Allies above)*/
>                 estout DemA DemAllies, cells("b(star fmt(3)) se(par fmt(3))" ) starlevels(* .05 ) style(tex);

            &        DemA &            &   DemAllies &            \\
            &           b &          se&           b &          se\\
B           &             &            &             &            \\
demdA       &       1.369 &     (1.885)&       1.633 &     (1.875)\\
wcchangedA  &       5.537 &     (5.376)&       5.331 &     (6.029)\\
capcheither20&       2.982 &     (2.150)&       2.856 &     (1.956)\\
regchangeeither&       1.699 &     (1.247)&       1.644 &     (1.147)\\
chTEAltorBmt&       0.756 &     (1.223)&       0.820 &     (1.176)\\
alformA     &       2.433 &     (1.543)&       2.362 &     (1.383)\\
asymmetry   &      -1.629 &     (0.896)&      -1.542 &     (0.907)\\
nomicoop    &      -2.655*&     (1.196)&      -2.535*&     (1.161)\\
treaty      &       1.546 &     (2.302)&       1.435 &     (2.274)\\
milinst     &       4.945*&     (2.325)&       5.117*&     (2.008)\\
time        &      -0.121 &     (0.269)&      -0.124 &     (0.261)\\
timesquare  &      -0.003 &     (0.010)&      -0.002 &     (0.010)\\
timecube    &       0.000 &     (0.000)&       0.000 &     (0.000)\\
_cons       &      -3.229*&     (1.495)&      -3.265*&     (1.484)\\
G           &             &            &             &            \\
Threat_combine&       4.116*&     (0.993)&       4.055*&     (0.978)\\
num_dems_on_border&      -0.291*&     (0.122)&      -0.283*&     (0.122)\\
num_borders &       0.121 &     (0.062)&       0.111 &     (0.061)\\
coldwar     &       0.450 &     (0.305)&       0.438 &     (0.301)\\
Lenergy_pop &      -0.153 &     (0.083)&      -0.139 &     (0.088)\\
Oil_exp     &       0.674 &     (0.505)&       0.611 &     (0.505)\\
maj_pow     &       0.416 &     (0.510)&       0.416 &     (0.528)\\
kgd_rival   &       0.004 &     (0.398)&       0.024 &     (0.395)\\
DemAlliance &             &            &      -0.548 &     (0.514)\\
_cons       &      -4.983*&     (0.548)&      -4.849*&     (0.574)\\

.                                 /* Table A.12 */
>                 /* Load data set and organize data */
>                 use NiemanGibler_demdiff_ally, clear;

.                 sort year ccode1 ccode2;

.         /* Table A.12 Results*/
>         list ccode1 ccode2 year violate Threat_combine wcchangedA demdA if violate==1;

      +----------------------------------------------------------------+
      | ccode1   ccode2   year   violate   Threat~e   wcchan~A   demdA |
      |----------------------------------------------------------------|
 565. |    255      365   1933         1   .0130462          1       0 |
 710. |    220      325   1935         1   .0189745          1       1 |
 738. |    350      325   1935         1   .0625891          0       1 |
 767. |    640      325   1935         1   .0401227          0       0 |
 784. |    211      220   1936         1   .0073453          0       1 |
      |----------------------------------------------------------------|
 808. |    325      230   1936         1   .0575638          0       0 |
 946. |    220      315   1938         1   .1825259          0       1 |
 947. |    220      315   1938         1   .1825259          0       1 |
 954. |    255      305   1938         1    .179592          0       0 |
 987. |    365      315   1938         1   .2144035          0       0 |
      |----------------------------------------------------------------|
1023. |    220      255   1939         1   .2901906          0       1 |
1050. |    325      339   1939         1   .1396286          0       0 |
1067. |    365      220   1939         1   .2740125          0       0 |
1068. |    365      220   1939         1   .2740125          0       0 |
1070. |    365      290   1939         1   .2740125          0       0 |
      |----------------------------------------------------------------|
1076. |    365      375   1939         1   .2740125          0       0 |
1125. |    255      390   1940         1   .7180079          0       0 |
1133. |    345      360   1940         1   .2813861          0       0 |
1141. |    365      366   1940         1   .6034602          0       0 |
1142. |    365      367   1940         1   .6034602          0       0 |
      |----------------------------------------------------------------|
1143. |    365      368   1940         1   .6034602          0       0 |
1175. |    800      200   1940         1          0          0       0 |
1183. |    255      365   1941         1   .5989665          0       0 |
1187. |    325      365   1941         1   .5989665          0       0 |
1198. |    365      630   1941         1   .5989665          0       0 |
      |----------------------------------------------------------------|
1268. |    325      255   1943         1   .2903858          0       0 |
1357. |    365      640   1945         1   .5718984          0       0 |
1362. |    365      740   1945         1   .5718984          0       0 |
1571. |    290      345   1949         1   .0157102          0       0 |
1577. |    310      345   1949         1   .0761328          0       0 |
      |----------------------------------------------------------------|
1583. |    315      345   1949         1   .0179906          0       0 |
1587. |    339      345   1949         1   .1033335          0       0 |
1600. |    355      345   1949         1   .0953084          0       0 |
1606. |    360      345   1949         1   .0769893          0       0 |
1614. |    365      345   1949         1   .4077682          0       0 |
      |----------------------------------------------------------------|
1696. |    700      640   1950         1   .1887987          0       0 |
1755. |    651      200   1951         1    .299026          0       0 |
2014. |    365      200   1955         1   .2471983          0       0 |
2015. |    365      220   1955         1   .2471983          0       0 |
2106. |    651      200   1956         1   .3032913          0       0 |
      |----------------------------------------------------------------|
2181. |    663      200   1957         1   .2940238          0       0 |
2253. |    645      663   1958         1   .1807461          1       0 |
2254. |    645      663   1958         1   .1807461          1       0 |
2336. |    645      200   1959         1   .1690619          0       0 |
2413. |    432      220   1960         1   .0798392          0       0 |
      |----------------------------------------------------------------|
2519. |    651      678   1961         1   .2811565          0       0 |
2597. |    475      200   1962         1   .0342151          0       1 |
2613. |    670      651   1962         1   .1389531          0       0 |
2615. |    670      678   1962         1   .1389531          0       0 |
2943. |    220      600   1966         1   .0032239          0       1 |
      |----------------------------------------------------------------|
3126. |    651      678   1967         1   .3260814          0       0 |
3456. |    620      200   1970         1   .0064777          0       0 |
3793. |    580      220   1973         1          0          1       0 |
3910. |    616      620   1974         1   .0017683          0       0 |
3947. |    200      560   1975         1   .0148677          0       1 |
      |----------------------------------------------------------------|
4160. |    651      365   1976         1   .1770256          0       0 |
4278. |    520      365   1977         1   .1789913          0       0 |
4292. |    645      651   1977         1   .1792031          0       0 |
4516. |    365      700   1979         1   .4459868          0       0 |
4517. |    365      700   1979         1   .4459868          0       0 |
      |----------------------------------------------------------------|
4534. |    500      625   1979         1   .1836727          1       0 |
4550. |    630        2   1979         1   .3313048          1       0 |
4577. |      2      713   1980         1   .0718902          0       1 |
4693. |    652      620   1980         1   .1183107          0       0 |
4807. |    436      620   1981         1   .0032878          0       0 |
      |----------------------------------------------------------------|
4958. |    483      620   1982         1   .1328122          1       0 |
5257. |    615      620   1984         1   .0465457          0       0 |
5405. |    625      651   1985         1   .1353621          0       0 |
5546. |    600      620   1986         1   .0976586          0       0 |
5623. |    338      365   1987         1          0          1       1 |
      |----------------------------------------------------------------|
5939. |    433      420   1989         1   .0009104          0       0 |
6063. |    365      645   1990         1   .2467204          0       0 |
6096. |    663      670   1990         1     .11726          0       0 |
6138. |    290      365   1991         1   .1211303          1       1 |
      +----------------------------------------------------------------+

.                 /* Table A.13 */
> #delimit;
delimiter now ;
.                         /* Calculate Rubin formula for uncertainty adding R-squared */
>                 capture program drop rubin;

.                 program define rubin;
  1.                         local names: colnames(Q1);
  2.                         /* MI param estimates */
>                         matrix Q = (Q1 + Q2 + Q3 + Q4 + Q5 + Q6 + Q7 + Q8 + Q9 + Q10)/10;
  3.                         /* MI covariances     */
>                         matrix W = (W1 + W2 + W3 + W4 + W5 + W6 + W7 + W8 + W9 + W10)/10;
  4.                         /* MI R-squared */
>                         matrix r2 = (r21 + r22 + r23 + r24 + r25 + r26 + r27 + r28 + r29 + r210)/10;
  5.                         local  k = colsof(Q);
  6.                         forvalues i=1/10 {;
  7.                           matrix QQ=Q`i'-Q;
  8.                           if `i'==1 {;
  9.                                 matrix B=(QQ)'*QQ;
 10.                                 };
 11.                           else matrix B = B + (QQ)'*QQ;
 12.                         };
 13.                         /* Covariance adjustment */
>                         matrix B=B/(10-1);
 14.                                         /* Final covariance   */
>                         matrix V=W+(1+1/10)*B;
 15.                                                         ereturn post Q V ;
 16.                 end;

.                 /* Load data */
>                 use NiemanGibler_demdiff_trade, clear;

.                 /* replicate original findings */
>                 reg ltrade bothin onein gsp ldist lrgdp lrgdppc regional custrict comlang border landl island lareap comcol colony curcol comctry i.year, robust cluster(dyad);

Linear regression                               Number of obs     =    234,597
                                                F(68, 12149)      =     527.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6480
                                                Root MSE          =     1.9796

                              (Std. Err. adjusted for 12,150 clusters in dyad)
------------------------------------------------------------------------------
             |               Robust
      ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      bothin |  -.0422915   .0527784    -0.80   0.423    -.1457456    .0611626
       onein |  -.0582516    .048594    -1.20   0.231    -.1535035    .0370003
         gsp |   .8585277   .0318465    26.96   0.000     .7961034     .920952
       ldist |  -1.119029   .0220752   -50.69   0.000      -1.1623   -1.075758
       lrgdp |    .915903   .0096096    95.31   0.000     .8970667    .9347393
     lrgdppc |   .3214132   .0140799    22.83   0.000     .2938144    .3490119
    regional |   1.198811   .1062062    11.29   0.000     .9906297    1.406992
    custrict |   1.118147   .1216956     9.19   0.000     .8796045     1.35669
     comlang |   .3125448   .0402906     7.76   0.000     .2335689    .3915207
      border |   .5257054   .1107187     4.75   0.000      .308679    .7427317
       landl |  -.2705915   .0312307    -8.66   0.000    -.3318086   -.2093745
      island |    .041927   .0360915     1.16   0.245    -.0288181    .1126721
      lareap |  -.0967329   .0079963   -12.10   0.000     -.112407   -.0810589
      comcol |   .5845614   .0671616     8.70   0.000      .452914    .7162088
      colony |   1.163838   .1172448     9.93   0.000     .9340191    1.393656
      curcol |   1.075146   .2347197     4.58   0.000      .615058    1.535234
     comctry |  -.0163045   1.081065    -0.02   0.988    -2.135363    2.102754
             |
        year |
       1949  |   .0643406   .1365437     0.47   0.638    -.2033069     .331988
       1950  |  -.6926276   .1909094    -3.63   0.000     -1.06684   -.3184148
       1951  |  -.5813835   .1916562    -3.03   0.002    -.9570602   -.2057068
       1952  |  -.7508197   .1918865    -3.91   0.000    -1.126948   -.3746917
       1953  |  -.8630515   .1920176    -4.49   0.000    -1.239437   -.4866663
       1954  |  -.8629323   .1926474    -4.48   0.000    -1.240552   -.4853127
       1955  |  -.9658263   .1924812    -5.02   0.000     -1.34312   -.5885325
       1956  |  -1.012218   .1925719    -5.26   0.000    -1.389689   -.6347459
       1957  |  -1.016467   .1927539    -5.27   0.000    -1.394296    -.638639
       1958  |  -1.110773   .1925152    -5.77   0.000    -1.488133   -.7334122
       1959  |  -1.119349   .1931653    -5.79   0.000    -1.497984   -.7407148
       1960  |   -1.17014   .1934505    -6.05   0.000    -1.549334   -.7909459
       1961  |  -1.235411    .193443    -6.39   0.000     -1.61459    -.856232
       1962  |  -1.312242   .1935625    -6.78   0.000    -1.691656   -.9328289
       1963  |  -1.338384   .1935014    -6.92   0.000    -1.717678   -.9590906
       1964  |  -1.340138   .1943444    -6.90   0.000    -1.721084   -.9591923
       1965  |  -1.468156   .1943683    -7.55   0.000    -1.849149   -1.087163
       1966  |  -1.524413   .1943444    -7.84   0.000    -1.905359   -1.143467
       1967  |  -1.594935   .1946975    -8.19   0.000    -1.976573   -1.213297
       1968  |  -1.727513   .1948993    -8.86   0.000    -2.109547   -1.345479
       1969  |  -2.253872    .194948   -11.56   0.000    -2.636001   -1.871743
       1970  |  -2.369365    .195026   -12.15   0.000    -2.751647   -1.987083
       1971  |   -2.64252   .1950257   -13.55   0.000    -3.024802   -2.260239
       1972  |  -2.641994   .1950053   -13.55   0.000    -3.024236   -2.259753
       1973  |   -2.58075   .1951587   -13.22   0.000    -2.963292   -2.198208
       1974  |  -2.441425   .1952807   -12.50   0.000    -2.824206   -2.058643
       1975  |  -2.479152   .1952429   -12.70   0.000    -2.861859   -2.096444
       1976  |  -2.543848   .1953415   -13.02   0.000    -2.926748   -2.160947
       1977  |  -2.605247   .1954619   -13.33   0.000    -2.988384   -2.222111
       1978  |  -2.670661   .1955693   -13.66   0.000    -3.054008   -2.287314
       1979  |  -2.696491   .1956867   -13.78   0.000    -3.080068   -2.312914
       1980  |  -2.720948   .1956759   -13.91   0.000    -3.104504   -2.337392
       1981  |  -2.890437   .1958884   -14.76   0.000    -3.274409   -2.506464
       1982  |   -3.07836   .1962475   -15.69   0.000    -3.463036   -2.693683
       1983  |  -3.238525   .1964428   -16.49   0.000    -3.623585   -2.853466
       1984  |  -3.329315   .1967826   -16.92   0.000     -3.71504    -2.94359
       1985  |  -3.435462   .1970077   -17.44   0.000    -3.821629   -3.049296
       1986  |  -3.576879   .1970051   -18.16   0.000     -3.96304   -3.190718
       1987  |  -3.645841   .1976847   -18.44   0.000    -4.033335   -3.258348
       1988  |  -3.676126   .1975329   -18.61   0.000    -4.063322    -3.28893
       1989  |  -3.720073   .1971638   -18.87   0.000    -4.106545     -3.3336
       1990  |  -3.714639   .1971764   -18.84   0.000    -4.101136   -3.328141
       1991  |  -3.645084   .1972132   -18.48   0.000    -4.031653   -3.258514
       1992  |  -3.645929   .1969623   -18.51   0.000    -4.032007   -3.259852
       1993  |  -3.730056   .1966533   -18.97   0.000    -4.115528   -3.344585
       1994  |  -3.631712   .1967048   -18.46   0.000    -4.017285    -3.24614
       1995  |  -3.595437    .196741   -18.27   0.000     -3.98108   -3.209793
       1996  |  -3.563829   .1967209   -18.12   0.000    -3.949433   -3.178225
       1997  |  -3.501102   .1967894   -17.79   0.000    -3.886841   -3.115364
       1998  |   -2.85317   .1958294   -14.57   0.000    -3.237027   -2.469313
       1999  |  -2.945114   .1959742   -15.03   0.000    -3.329255   -2.560974
             |
       _cons |  -24.95997   .4070759   -61.32   0.000     -25.7579   -24.16204
------------------------------------------------------------------------------

.                 estimates store rose;

.                                 /* Adding Threat (main model)*/
>                 forvalues i=1/10 {;
  2.                 areg ltrade BothDem_Threatmin`i' OneDem_Threatmin`i' BothDem OneDem threat_min`i' bothin onein gsp ldist lrgdp lrgdppc regional custrict comlang border landl island lareap comcol colony curcol comctry 
> , a(year) robust cluster(dyad);
  3.                         matrix Q`i' = e(b);
  4.                         matrix W`i' = e(V);
  5.                         matrix  r2`i' = e(r2);
  6.                         nois _dots `i' 0;
  7.                 };

Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1534.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6486
                                                Root MSE          =     1.9786

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin1 |  -2.761146    .728437    -3.79   0.000    -4.188999   -1.333293
 OneDem_Threatmin1 |  -1.221862   .4347049    -2.81   0.005    -2.073953   -.3697712
           BothDem |   .2040526   .0451556     4.52   0.000     .1155405    .2925648
            OneDem |   .0932329   .0342748     2.72   0.007     .0260488    .1604171
       threat_min1 |   .1271884   .3425186     0.37   0.710    -.5442027    .7985794
            bothin |  -.0528731   .0541543    -0.98   0.329    -.1590242     .053278
             onein |  -.0485581   .0496584    -0.98   0.328    -.1458966    .0487804
               gsp |    .830011   .0315622    26.30   0.000     .7681441    .8918779
             ldist |  -1.125077   .0220641   -50.99   0.000    -1.168327   -1.081828
             lrgdp |   .9171466   .0096653    94.89   0.000     .8982011    .9360921
           lrgdppc |   .3078736   .0144716    21.27   0.000      .279507    .3362402
          regional |   1.164538   .1079393    10.79   0.000     .9529596    1.376116
          custrict |   1.129162   .1235542     9.14   0.000     .8869761    1.371348
           comlang |    .309406   .0404099     7.66   0.000      .230196    .3886159
            border |   .5276755   .1097861     4.81   0.000     .3124772    .7428738
             landl |  -.2824443   .0313456    -9.01   0.000    -.3438866    -.221002
            island |   .0199842   .0364105     0.55   0.583    -.0513862    .0913546
            lareap |  -.0980169   .0080333   -12.20   0.000    -.1137634   -.0822704
            comcol |   .5901985   .0678968     8.69   0.000     .4571099    .7232871
            colony |   1.151632   .1159997     9.93   0.000     .9242545     1.37901
            curcol |   1.096609   .2360906     4.64   0.000     .6338335    1.559384
           comctry |   .0008891   1.085264     0.00   0.999    -2.126401    2.128179
             _cons |  -27.58345   .3758573   -73.39   0.000    -28.32019   -26.84671
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1534.02
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6487
                                                Adj R-squared     =     0.6486
                                                Root MSE          =     1.9787

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin2 |  -2.995469   .8226293    -3.64   0.000    -4.607953   -1.382984
 OneDem_Threatmin2 |  -1.333264   .4751145    -2.81   0.005    -2.264564   -.4019635
           BothDem |   .2088676   .0458504     4.56   0.000     .1189935    .2987418
            OneDem |   .0947402   .0344184     2.75   0.006     .0272747    .1622057
       threat_min2 |   .2869314   .3749044     0.77   0.444     -.447941    1.021804
            bothin |  -.0499688   .0542614    -0.92   0.357    -.1563299    .0563923
             onein |   -.046163   .0497231    -0.93   0.353    -.1436282    .0513021
               gsp |   .8330155   .0315513    26.40   0.000     .7711699     .894861
             ldist |  -1.126602   .0220927   -50.99   0.000    -1.169907   -1.083297
             lrgdp |    .916572   .0096696    94.79   0.000     .8976181     .935526
           lrgdppc |     .30913    .014486    21.34   0.000     .2807352    .3375249
          regional |   1.165939   .1075944    10.84   0.000      .955037    1.376841
          custrict |   1.129186   .1236058     9.14   0.000     .8868988    1.371473
           comlang |   .3069174   .0404131     7.59   0.000     .2277012    .3861336
            border |   .5232695   .1098428     4.76   0.000     .3079601    .7385789
             landl |  -.2800636   .0313316    -8.94   0.000    -.3414785   -.2186487
            island |   .0210054   .0364518     0.58   0.564     -.050446    .0924568
            lareap |  -.0977905    .008035   -12.17   0.000    -.1135403   -.0820407
            comcol |   .5905199   .0679042     8.70   0.000     .4574168     .723623
            colony |   1.159017   .1157949    10.01   0.000     .9320402    1.385993
            curcol |    1.09562   .2358355     4.65   0.000      .633345    1.557895
           comctry |   .0057363   1.081607     0.01   0.996    -2.114386    2.125859
             _cons |  -27.57602   .3760964   -73.32   0.000    -28.31323   -26.83881
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1535.45
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6487
                                                Root MSE          =     1.9785

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin3 |  -3.025121   .7751605    -3.90   0.000    -4.544559   -1.505683
 OneDem_Threatmin3 |  -1.381134   .4579467    -3.02   0.003    -2.278783   -.4834855
           BothDem |   .2147831   .0459791     4.67   0.000     .1246568    .3049095
            OneDem |   .0985818   .0345625     2.85   0.004     .0308337    .1663299
       threat_min3 |   .2290426   .3597611     0.64   0.524    -.4761465    .9342317
            bothin |  -.0519502   .0541609    -0.96   0.337    -.1581142    .0542138
             onein |  -.0475713   .0496555    -0.96   0.338     -.144904    .0497615
               gsp |   .8309597   .0315419    26.34   0.000     .7691326    .8927868
             ldist |  -1.125754   .0220681   -51.01   0.000    -1.169011   -1.082497
             lrgdp |   .9169391   .0096595    94.93   0.000     .8980048    .9358733
           lrgdppc |   .3082988   .0144657    21.31   0.000     .2799438    .3366538
          regional |   1.165441   .1077493    10.82   0.000     .9542356    1.376647
          custrict |   1.128491   .1236001     9.13   0.000     .8862153    1.370767
           comlang |   .3079217   .0404044     7.62   0.000     .2287226    .3871207
            border |   .5259766   .1096416     4.80   0.000     .3110616    .7408916
             landl |  -.2816593   .0313329    -8.99   0.000    -.3430768   -.2202418
            island |   .0180349   .0364857     0.49   0.621     -.053483    .0895527
            lareap |  -.0979096   .0080299   -12.19   0.000    -.1136495   -.0821697
            comcol |   .5918938   .0678932     8.72   0.000     .4588124    .7249752
            colony |   1.156633   .1157015    10.00   0.000     .9298397    1.383426
            curcol |   1.095648    .235936     4.64   0.000     .6331756     1.55812
           comctry |   .0075538   1.081872     0.01   0.994    -2.113087    2.128195
             _cons |   -27.5809   .3757623   -73.40   0.000    -28.31745   -26.84435
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1536.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6487
                                                Root MSE          =     1.9785

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin4 |  -2.987905    .751564    -3.98   0.000     -4.46109    -1.51472
 OneDem_Threatmin4 |  -1.319727   .4599542    -2.87   0.004    -2.221311   -.4181436
           BothDem |   .2062385   .0450973     4.57   0.000     .1178407    .2946363
            OneDem |   .0945108   .0342149     2.76   0.006     .0274441    .1615774
       threat_min4 |   .1500349   .3626619     0.41   0.679    -.5608403      .86091
            bothin |  -.0528112   .0542126    -0.97   0.330    -.1590766    .0534541
             onein |  -.0481335   .0496941    -0.97   0.333    -.1455419    .0492748
               gsp |   .8305552   .0315578    26.32   0.000     .7686969    .8924135
             ldist |  -1.126609   .0220739   -51.04   0.000    -1.169878   -1.083341
             lrgdp |   .9173881   .0096709    94.86   0.000     .8984316    .9363446
           lrgdppc |     .30767   .0144828    21.24   0.000     .2792814    .3360586
          regional |   1.161455   .1078165    10.77   0.000     .9501179    1.372793
          custrict |   1.127633   .1235959     9.12   0.000     .8853657    1.369901
           comlang |   .3077824   .0404067     7.62   0.000     .2285788     .386986
            border |   .5263786   .1095984     4.80   0.000     .3115483    .7412089
             landl |  -.2819582   .0313301    -9.00   0.000    -.3433702   -.2205462
            island |   .0202726   .0363788     0.56   0.577    -.0510357    .0915808
            lareap |   -.098164   .0080381   -12.21   0.000      -.11392   -.0824079
            comcol |    .592264   .0678608     8.73   0.000     .4592461     .725282
            colony |   1.154147   .1157856     9.97   0.000     .9271892    1.381106
            curcol |    1.09693   .2360211     4.65   0.000     .6342908    1.559569
           comctry |   .0023739   1.085386     0.00   0.998    -2.125156    2.129904
             _cons |  -27.57665   .3757857   -73.38   0.000    -28.31325   -26.84005
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1534.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6486
                                                Root MSE          =     1.9786

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin5 |  -3.296615   .8083413    -4.08   0.000    -4.881093   -1.712138
 OneDem_Threatmin5 |  -1.424683   .4771039    -2.99   0.003    -2.359883   -.4894831
           BothDem |   .2129613   .0455166     4.68   0.000     .1237415    .3021811
            OneDem |   .0970146     .03433     2.83   0.005     .0297224    .1643067
       threat_min5 |   .3298378   .3738386     0.88   0.378    -.4029453    1.062621
            bothin |  -.0493039   .0542157    -0.91   0.363    -.1555753    .0569675
             onein |  -.0457269   .0496969    -0.92   0.358    -.1431407     .051687
               gsp |    .832512   .0315511    26.39   0.000     .7706669    .8943571
             ldist |  -1.126764   .0220857   -51.02   0.000    -1.170056   -1.083473
             lrgdp |   .9168641   .0096671    94.84   0.000      .897915    .9358131
           lrgdppc |   .3086995   .0144834    21.31   0.000     .2803097    .3370893
          regional |   1.163917   .1076652    10.81   0.000     .9528762    1.374958
          custrict |   1.129432   .1235678     9.14   0.000     .8872193    1.371644
           comlang |   .3068384   .0404049     7.59   0.000     .2276383    .3860385
            border |   .5238322   .1096176     4.78   0.000     .3089642    .7387001
             landl |  -.2807627   .0313207    -8.96   0.000    -.3421563   -.2193691
            island |   .0206916   .0364281     0.57   0.570    -.0507133    .0920964
            lareap |  -.0979652   .0080355   -12.19   0.000    -.1137161   -.0822142
            comcol |   .5919062   .0678803     8.72   0.000       .45885    .7249624
            colony |   1.157926   .1157284    10.01   0.000     .9310799    1.384772
            curcol |   1.097739   .2356794     4.66   0.000       .63577    1.559708
           comctry |   .0033855   1.082917     0.00   0.998    -2.119305    2.126076
             _cons |  -27.57932   .3758395   -73.38   0.000    -28.31602   -26.84261
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1534.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6487
                                                Adj R-squared     =     0.6486
                                                Root MSE          =     1.9787

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin6 |   -3.12491   .8111309    -3.85   0.000    -4.714856   -1.534964
 OneDem_Threatmin6 |  -1.358268   .4523833    -3.00   0.003    -2.245011   -.4715242
           BothDem |   .2079399   .0452498     4.60   0.000      .119243    .2966368
            OneDem |   .0956895   .0341306     2.80   0.005      .028788    .1625909
       threat_min6 |   .4143957   .3516047     1.18   0.239    -.2748056    1.103597
            bothin |  -.0467356   .0542419    -0.86   0.389    -.1530583    .0595871
             onein |  -.0441815   .0497076    -0.89   0.374    -.1416163    .0532534
               gsp |   .8330908   .0315702    26.39   0.000     .7712082    .8949734
             ldist |  -1.126459   .0220959   -50.98   0.000     -1.16977   -1.083147
             lrgdp |   .9163606   .0096706    94.76   0.000     .8974047    .9353166
           lrgdppc |   .3093549   .0144931    21.34   0.000     .2809461    .3377637
          regional |   1.165495   .1075852    10.83   0.000     .9546113    1.376379
          custrict |   1.130964   .1235622     9.15   0.000     .8887621    1.373165
           comlang |   .3067978   .0404125     7.59   0.000     .2275828    .3860128
            border |   .5215536   .1098246     4.75   0.000     .3062798    .7368274
             landl |  -.2792307   .0313179    -8.92   0.000    -.3406188   -.2178427
            island |   .0238419   .0363877     0.66   0.512    -.0474839    .0951677
            lareap |  -.0977255   .0080367   -12.16   0.000    -.1134788   -.0819723
            comcol |   .5903412   .0679158     8.69   0.000     .4572155     .723467
            colony |    1.15833   .1159139     9.99   0.000     .9311201     1.38554
            curcol |   1.095138   .2359774     4.64   0.000     .6325847    1.557691
           comctry |   .0012516   1.084171     0.00   0.999    -2.123896    2.126399
             _cons |  -27.57973   .3760622   -73.34   0.000    -28.31688   -26.84259
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1536.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6487
                                                Root MSE          =     1.9785

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin7 |   -3.18478   .7886083    -4.04   0.000    -4.730578   -1.638982
 OneDem_Threatmin7 |  -1.425104   .4717236    -3.02   0.003    -2.349757   -.5004502
           BothDem |    .211593   .0454364     4.66   0.000     .1225305    .3006556
            OneDem |   .0968325   .0343003     2.82   0.005     .0295986    .1640665
       threat_min7 |   .2023737   .3696585     0.55   0.584    -.5222159    .9269633
            bothin |  -.0524854   .0541702    -0.97   0.333    -.1586675    .0536968
             onein |  -.0478278   .0496636    -0.96   0.336    -.1451763    .0495207
               gsp |   .8306646   .0315456    26.33   0.000     .7688302     .892499
             ldist |  -1.126024   .0220658   -51.03   0.000    -1.169277   -1.082772
             lrgdp |   .9171934   .0096591    94.96   0.000     .8982599    .9361268
           lrgdppc |   .3079174   .0144629    21.29   0.000     .2795678     .336267
          regional |   1.163665   .1077803    10.80   0.000      .952398    1.374931
          custrict |   1.128081   .1235943     9.13   0.000     .8858167    1.370346
           comlang |   .3079178   .0404013     7.62   0.000     .2287248    .3871107
            border |    .526647   .1095495     4.81   0.000     .3119125    .7413815
             landl |  -.2818661   .0313278    -9.00   0.000    -.3432735   -.2204588
            island |   .0189234   .0364232     0.52   0.603    -.0524718    .0903186
            lareap |  -.0980898   .0080323   -12.21   0.000    -.1138344   -.0823452
            comcol |   .5925733   .0678757     8.73   0.000      .459526    .7256206
            colony |   1.154955   .1157101     9.98   0.000     .9281453    1.381766
            curcol |   1.096263   .2359877     4.65   0.000     .6336896    1.558836
           comctry |   .0046401    1.08339     0.00   0.997    -2.118977    2.128257
             _cons |  -27.57922   .3757481   -73.40   0.000    -28.31575    -26.8427
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1534.23
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6487
                                                Root MSE          =     1.9786

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin8 |  -2.993593   .7471503    -4.01   0.000    -4.458127    -1.52906
 OneDem_Threatmin8 |  -1.295527    .439931    -2.94   0.003    -2.157862   -.4331918
           BothDem |   .2068165   .0450762     4.59   0.000       .11846    .2951731
            OneDem |   .0948481   .0341776     2.78   0.006     .0278545    .1618418
       threat_min8 |   .2418854   .3469088     0.70   0.486    -.4381112     .921882
            bothin |  -.0497352   .0541585    -0.92   0.358    -.1558945    .0564241
             onein |  -.0464185   .0496654    -0.93   0.350    -.1437707    .0509337
               gsp |   .8312572   .0315647    26.34   0.000     .7693854    .8931291
             ldist |  -1.126294   .0220735   -51.02   0.000    -1.169562   -1.083027
             lrgdp |   .9170179   .0096713    94.82   0.000     .8980607    .9359752
           lrgdppc |   .3083613   .0144781    21.30   0.000     .2799819    .3367407
          regional |   1.163075   .1077765    10.79   0.000     .9518161    1.374335
          custrict |   1.128903   .1235635     9.14   0.000     .8866991    1.371107
           comlang |   .3077549   .0403973     7.62   0.000     .2285698      .38694
            border |   .5248741   .1096665     4.79   0.000     .3099103     .739838
             landl |  -.2809376   .0313247    -8.97   0.000    -.3423391   -.2195361
            island |   .0215332   .0363777     0.59   0.554    -.0497729    .0928393
            lareap |  -.0979914   .0080387   -12.19   0.000    -.1137485   -.0822344
            comcol |   .5915052   .0678751     8.71   0.000     .4584591    .7245513
            colony |   1.155686   .1157408     9.99   0.000     .9288155    1.382556
            curcol |   1.095207   .2359477     4.64   0.000     .6327116    1.557702
           comctry |   .0024175   1.085401     0.00   0.998    -2.125141    2.129976
             _cons |  -27.58214   .3757587   -73.40   0.000    -28.31869   -26.84559
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1535.18
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6486
                                                Root MSE          =     1.9786

                                    (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------------
                   |               Robust
            ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
BothDem_Threatmin9 |  -3.471172   .8843307    -3.93   0.000    -5.204601   -1.737743
 OneDem_Threatmin9 |  -1.505552   .5096133    -2.95   0.003    -2.504476    -.506629
           BothDem |   .2082584   .0453223     4.60   0.000     .1194195    .2970973
            OneDem |   .0956884   .0343102     2.79   0.005     .0284349    .1629418
       threat_min9 |   .3059537   .3983571     0.77   0.442    -.4748897    1.086797
            bothin |  -.0499931    .054213    -0.92   0.356    -.1562593     .056273
             onein |  -.0461765   .0496979    -0.93   0.353    -.1435923    .0512394
               gsp |   .8312746    .031564    26.34   0.000     .7694042    .8931451
             ldist |  -1.126428   .0220826   -51.01   0.000    -1.169714   -1.083143
             lrgdp |   .9168895   .0096688    94.83   0.000     .8979371    .9358419
           lrgdppc |   .3083942    .014489    21.28   0.000     .2799935    .3367948
          regional |   1.163052   .1077556    10.79   0.000     .9518337     1.37427
          custrict |   1.129754   .1235735     9.14   0.000     .8875302    1.371978
           comlang |    .307247   .0404058     7.60   0.000     .2280452    .3864489
            border |   .5247236   .1097084     4.78   0.000     .3096776    .7397695
             landl |  -.2811133   .0313289    -8.97   0.000     -.342523   -.2197036
            island |   .0214728   .0363938     0.59   0.555    -.0498648    .0928104
            lareap |  -.0979863   .0080363   -12.19   0.000    -.1137388   -.0822337
            comcol |   .5910543   .0678851     8.71   0.000     .4579887    .7241199
            colony |   1.155748   .1158089     9.98   0.000     .9287438    1.382752
            curcol |   1.095944   .2359877     4.64   0.000     .6333706    1.558517
           comctry |   .0011991   1.084824     0.00   0.999    -2.125228    2.127627
             _cons |  -27.57625   .3759564   -73.35   0.000    -28.31319   -26.83932
-------------------+----------------------------------------------------------------
              year |   absorbed                                      (52 categories)
.
Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1534.25
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6487
                                                Adj R-squared     =     0.6486
                                                Root MSE          =     1.9786

                                     (Std. Err. adjusted for 12,144 clusters in dyad)
-------------------------------------------------------------------------------------
                    |               Robust
             ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
BothDem_Threatmin10 |   -2.90664    .807343    -3.60   0.000    -4.489161   -1.324119
 OneDem_Threatmin10 |  -1.237839   .4816693    -2.57   0.010    -2.181988   -.2936907
            BothDem |   .2065096   .0457972     4.51   0.000     .1167398    .2962795
             OneDem |   .0926339   .0345379     2.68   0.007      .024934    .1603337
       threat_min10 |   .1230888   .3839132     0.32   0.749    -.6294424    .8756199
             bothin |  -.0530209   .0542623    -0.98   0.329    -.1593837    .0533419
              onein |  -.0483921   .0497262    -0.97   0.330    -.1458635    .0490793
                gsp |   .8317336   .0315617    26.35   0.000     .7698676    .8935996
              ldist |  -1.126553   .0220805   -51.02   0.000    -1.169834   -1.083272
              lrgdp |   .9170239   .0096765    94.77   0.000     .8980565    .9359913
            lrgdppc |   .3084291   .0144852    21.29   0.000     .2800357    .3368224
           regional |   1.163686   .1077819    10.80   0.000     .9524162    1.374956
           custrict |   1.127726   .1235826     9.13   0.000     .8854844    1.369967
            comlang |   .3077957   .0404132     7.62   0.000     .2285794     .387012
             border |   .5255336   .1098027     4.79   0.000     .3103027    .7407645
              landl |  -.2814524   .0313441    -8.98   0.000    -.3428919   -.2200129
             island |   .0194634   .0364534     0.53   0.593    -.0519911    .0909179
             lareap |  -.0979198    .008037   -12.18   0.000    -.1136736    -.082166
             comcol |   .5908129   .0678898     8.70   0.000      .457738    .7238878
             colony |   1.156488   .1158074     9.99   0.000     .9294866    1.383488
             curcol |   1.098123   .2356831     4.66   0.000     .6361465    1.560099
            comctry |   .0048176    1.08264     0.00   0.996     -2.11733    2.126965
              _cons |  -27.57611   .3759196   -73.36   0.000    -28.31297   -26.83924
--------------------+----------------------------------------------------------------
               year |   absorbed                                      (52 categories)
.
.                 rubin;

.                         estout , cells(b(star fmt(3)) se(par fmt(3)) ) starlevels(* .05) style(tex);

            &           . \\
            &        b/se \\
BothDem_Threatmin10&      -3.075*\\
            &     (0.822) \\
OneDem_Threatmin10&      -1.350*\\
            &     (0.476) \\
BothDem     &       0.209*\\
            &     (0.046) \\
OneDem      &       0.095*\\
            &     (0.034) \\
threat_min10&       0.241 \\
            &     (0.380) \\
bothin      &      -0.051 \\
            &     (0.054) \\
onein       &      -0.047 \\
            &     (0.050) \\
gsp         &       0.832*\\
            &     (0.032) \\
ldist       &      -1.126*\\
            &     (0.022) \\
lrgdp       &       0.917*\\
            &     (0.010) \\
lrgdppc     &       0.308*\\
            &     (0.014) \\
regional    &       1.164*\\
            &     (0.108) \\
custrict    &       1.129*\\
            &     (0.124) \\
comlang     &       0.308*\\
            &     (0.040) \\
border      &       0.525*\\
            &     (0.110) \\
landl       &      -0.281*\\
            &     (0.031) \\
island      &       0.021 \\
            &     (0.036) \\
lareap      &      -0.098*\\
            &     (0.008) \\
comcol      &       0.591*\\
            &     (0.068) \\
colony      &       1.156*\\
            &     (0.116) \\
curcol      &       1.096*\\
            &     (0.236) \\
comctry     &       0.003 \\
            &     (1.084) \\
_cons       &     -27.579*\\
            &     (0.376) \\

.                         matrix B = e(b);

.                         matrix V = e(V);

.                         matrix rename  r2 r2_threat;

.                         estimates store threat;

.                         /*rerun using combined scores for interaction figures*/
>                 areg ltrade BothDem_Threatmin OneDem_Threatmin BothDem OneDem threat_min bothin onein gsp ldist lrgdp lrgdppc regional custrict comlang border landl island lareap comcol colony curcol comctry , a(year) ro
> bust cluster(dyad);

Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  22,  12143)   =    1534.90
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6488
                                                Adj R-squared     =     0.6486
                                                Root MSE          =     1.9786

                                   (Std. Err. adjusted for 12,144 clusters in dyad)
-----------------------------------------------------------------------------------
                  |               Robust
           ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
------------------+----------------------------------------------------------------
BothDem_Threatmin |   -3.09246   .7949142    -3.89   0.000    -4.650618   -1.534301
 OneDem_Threatmin |  -1.354268    .466703    -2.90   0.004    -2.269081   -.4394561
          BothDem |   .2096469   .0455052     4.61   0.000     .1204493    .2988444
           OneDem |   .0956815   .0343571     2.78   0.005      .028336     .163027
       threat_min |   .2371355   .3666891     0.65   0.518    -.4816335    .9559045
           bothin |  -.0510665   .0542057    -0.94   0.346    -.1573184    .0551853
            onein |  -.0469913   .0496889    -0.95   0.344    -.1443895    .0504069
              gsp |   .8314087   .0315569    26.35   0.000     .7695521    .8932653
            ldist |  -1.126283   .0220767   -51.02   0.000    -1.169557    -1.08301
            lrgdp |   .9169693   .0096675    94.85   0.000     .8980196    .9359191
          lrgdppc |   .3083542   .0144796    21.30   0.000     .2799718    .3367366
         regional |   1.163963   .1077457    10.80   0.000     .9527638    1.375161
         custrict |   1.128833   .1235832     9.13   0.000     .8865902    1.371076
          comlang |   .3076219   .0404073     7.61   0.000     .2284172    .3868266
           border |   .5250753   .1096905     4.79   0.000     .3100645    .7400862
            landl |  -.2812011    .031331    -8.98   0.000    -.3426149   -.2197873
           island |    .020245   .0364254     0.56   0.578    -.0511547    .0916447
           lareap |  -.0979718    .008035   -12.19   0.000    -.1137217    -.082222
           comcol |   .5914954   .0678863     8.71   0.000     .4584273    .7245634
           colony |   1.156025   .1157849     9.98   0.000     .9290678    1.382981
           curcol |   1.096374   .2359212     4.65   0.000     .6339307    1.558817
          comctry |   .0036448   1.083776     0.00   0.997    -2.120729    2.128019
            _cons |  -27.57862   .3758667   -73.37   0.000    -28.31538   -26.84187
------------------+----------------------------------------------------------------
             year |   absorbed                                      (52 categories)

.                         gen GN =1 if e(sample)==1;
(607 missing values generated)

.                 /* Reduced Sample */
>                 areg ltrade bothin onein gsp ldist lrgdp lrgdppc regional custrict comlang border landl island lareap comcol colony curcol comctry  if GN==1, a(year) robust cluster(dyad);

Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  17,  12143)   =    1931.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6483
                                                Adj R-squared     =     0.6482
                                                Root MSE          =     1.9797

                              (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------
             |               Robust
      ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      bothin |  -.0170248   .0532061    -0.32   0.749    -.1213172    .0872676
       onein |  -.0330588   .0490726    -0.67   0.501    -.1292489    .0631312
         gsp |   .8538379   .0318635    26.80   0.000     .7913804    .9162954
       ldist |  -1.122071   .0220992   -50.77   0.000    -1.165389   -1.078753
       lrgdp |   .9160048   .0096258    95.16   0.000     .8971366    .9348729
     lrgdppc |   .3221403   .0140851    22.87   0.000     .2945313    .3497493
    regional |   1.201518   .1075171    11.18   0.000     .9907669    1.412268
    custrict |   1.126878   .1228452     9.17   0.000     .8860822    1.367674
     comlang |   .3099079   .0403205     7.69   0.000     .2308734    .3889425
      border |   .5206842   .1110553     4.69   0.000     .3029982    .7383702
       landl |  -.2678012   .0312574    -8.57   0.000    -.3290707   -.2065317
      island |   .0441905   .0361413     1.22   0.221    -.0266522    .1150333
      lareap |  -.0950179   .0080243   -11.84   0.000    -.1107469   -.0792889
      comcol |   .5669391   .0675249     8.40   0.000     .4345795    .6992987
      colony |   1.165623   .1171947     9.95   0.000      .935903    1.395344
      curcol |   1.079283    .234839     4.60   0.000     .6189615    1.539605
     comctry |  -.0158385   1.078475    -0.01   0.988    -2.129821    2.098144
       _cons |  -27.83266   .3699846   -75.23   0.000    -28.55788   -27.10743
-------------+----------------------------------------------------------------
        year |   absorbed                                      (52 categories)

.                 estimates store rose2;

.                 /* Adding Democracy */
>                 areg ltrade BothDem OneDem bothin onein gsp ldist lrgdp lrgdppc regional custrict comlang border landl island lareap comcol colony curcol comctry  if GN==1, a(year) robust cluster(dyad);

Linear regression, absorbing indicators         Number of obs     =    233,990
                                                F(  19,  12143)   =    1742.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.6485
                                                Adj R-squared     =     0.6484
                                                Root MSE          =     1.9794

                              (Std. Err. adjusted for 12,144 clusters in dyad)
------------------------------------------------------------------------------
             |               Robust
      ltrade |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     BothDem |   .1392318   .0425134     3.28   0.001     .0558987    .2225648
      OneDem |    .056019   .0318007     1.76   0.078    -.0063154    .1183535
      bothin |  -.0455378   .0537299    -0.85   0.397    -.1508569    .0597814
       onein |  -.0480094   .0494006    -0.97   0.331    -.1448424    .0488236
         gsp |   .8413632   .0316073    26.62   0.000     .7794079    .9033185
       ldist |  -1.122575   .0221288   -50.73   0.000    -1.165951   -1.079199
       lrgdp |   .9140745   .0096953    94.28   0.000     .8950702    .9330789
     lrgdppc |   .3138435     .01442    21.76   0.000      .285578    .3421091
    regional |   1.179909   .1074709    10.98   0.000     .9692486    1.390569
    custrict |   1.133771   .1234976     9.18   0.000     .8916961    1.375846
     comlang |   .3108847   .0404042     7.69   0.000      .231686    .3900834
      border |   .5215739   .1114206     4.68   0.000     .3031718     .739976
       landl |  -.2739731   .0313369    -8.74   0.000    -.3353984   -.2125478
      island |    .038017   .0361379     1.05   0.293     -.032819     .108853
      lareap |  -.0960148   .0080361   -11.95   0.000    -.1117669   -.0802627
      comcol |   .5743911   .0680563     8.44   0.000     .4409899    .7077923
      colony |   1.159924   .1175457     9.87   0.000     .9295156    1.390332
      curcol |   1.094603   .2353711     4.65   0.000      .633238    1.555968
     comctry |  -.0116487   1.078986    -0.01   0.991    -2.126634    2.103336
       _cons |  -27.60394   .3765439   -73.31   0.000    -28.34202   -26.86585
-------------+----------------------------------------------------------------
        year |   absorbed                                      (52 categories)

.                 estimates store rose_dem;

.                                 /* Table A.13 Results */        
>         #delimit;
delimiter now ;
.         estout rose rose2 rose_dem threat, stats(N r2)
>         cells(b(fmt(3) star) se(par))
>         modelwidth(8)
>         starlevels(* 0.05) legend
>         varwidth(15)
>         drop( *year)
>         style(tex) replace;

               &    rose &   rose2 &rose_dem &  threat \\
               &    b/se &    b/se &    b/se &    b/se \\
bothin         &  -0.042 &  -0.017 &  -0.046 &  -0.051 \\
               & (0.053) & (0.053) & (0.054) & (0.054) \\
onein          &  -0.058 &  -0.033 &  -0.048 &  -0.047 \\
               & (0.049) & (0.049) & (0.049) & (0.050) \\
gsp            &   0.859*&   0.854*&   0.841*&   0.832*\\
               & (0.032) & (0.032) & (0.032) & (0.032) \\
ldist          &  -1.119*&  -1.122*&  -1.123*&  -1.126*\\
               & (0.022) & (0.022) & (0.022) & (0.022) \\
lrgdp          &   0.916*&   0.916*&   0.914*&   0.917*\\
               & (0.010) & (0.010) & (0.010) & (0.010) \\
lrgdppc        &   0.321*&   0.322*&   0.314*&   0.308*\\
               & (0.014) & (0.014) & (0.014) & (0.014) \\
regional       &   1.199*&   1.202*&   1.180*&   1.164*\\
               & (0.106) & (0.108) & (0.107) & (0.108) \\
custrict       &   1.118*&   1.127*&   1.134*&   1.129*\\
               & (0.122) & (0.123) & (0.123) & (0.124) \\
comlang        &   0.313*&   0.310*&   0.311*&   0.308*\\
               & (0.040) & (0.040) & (0.040) & (0.040) \\
border         &   0.526*&   0.521*&   0.522*&   0.525*\\
               & (0.111) & (0.111) & (0.111) & (0.110) \\
landl          &  -0.271*&  -0.268*&  -0.274*&  -0.281*\\
               & (0.031) & (0.031) & (0.031) & (0.031) \\
island         &   0.042 &   0.044 &   0.038 &   0.021 \\
               & (0.036) & (0.036) & (0.036) & (0.036) \\
lareap         &  -0.097*&  -0.095*&  -0.096*&  -0.098*\\
               & (0.008) & (0.008) & (0.008) & (0.008) \\
comcol         &   0.585*&   0.567*&   0.574*&   0.591*\\
               & (0.067) & (0.068) & (0.068) & (0.068) \\
colony         &   1.164*&   1.166*&   1.160*&   1.156*\\
               & (0.117) & (0.117) & (0.118) & (0.116) \\
curcol         &   1.075*&   1.079*&   1.095*&   1.096*\\
               & (0.235) & (0.235) & (0.235) & (0.236) \\
comctry        &  -0.016 &  -0.016 &  -0.012 &   0.003 \\
               & (1.081) & (1.078) & (1.079) & (1.084) \\
BothDem        &         &         &   0.139*&   0.209*\\
               &         &         & (0.043) & (0.046) \\
OneDem         &         &         &   0.056 &   0.095*\\
               &         &         & (0.032) & (0.034) \\
BothDem_Threatmin10&         &         &         &  -3.075*\\
               &         &         &         & (0.822) \\
OneDem_Threatmin10&         &         &         &  -1.350*\\
               &         &         &         & (0.476) \\
threat_min10   &         &         &         &   0.241 \\
               &         &         &         & (0.380) \\
_cons          & -24.960*& -27.833*& -27.604*& -27.579*\\
               & (0.407) & (0.370) & (0.377) & (0.376) \\
N              &234597.000 &233990.000 &233990.000 &         \\
r2             &   0.648 &   0.648 &   0.648 &         \\
* p<0.05

.                 matrix list r2_threat;

symmetric r2_threat[1,1]
           c1
r1  .64875572

.         /* Figure A.3 */
>                 /* Preserve data to restore later */
>                 preserve;

.                 /* Limit data to sample */
>                 keep if GN==1;
(607 observations deleted)

.                 /* Collapse to range of threat min to max */
>                 collapse (mean) threat=threat_min (min) threat_min=threat_min (max) threat_max=threat_min;

.                 /* Generate simulations */
>                 expand 100;
(99 observations created)

.                 replace threat = threat_min + (_n/_N)*(threat_max - threat_min);
(100 real changes made)

.             expand 100;
(9,900 observations created)

.                 drawnorm b_BothDem_Threatmin b_OneDem_Threatmin b_BothDem b_OneDem b_threat_min b_bothin b_onein b_gsp b_ldist b_lrgdp b_lrgdppc b_regional b_custrict b_comlang b_border b_landl b_island b_lareap b_comcol
>  b_colony b_curcol b_comctry b_cons, means(B) cov(V);

.                 /* Generate marginal effects */
>                 gen gamma1 = b_OneDem + threat*b_OneDem_Threatmin;

.                 gen gamma2 = b_BothDem + threat*b_BothDem_Threatmin;

.                 /* Get mean and SD for each value of z. */
>                 collapse (mean) gamma1 gamma2 (sd) sd_gamma1 = gamma1 sd_gamma2 = gamma2, by(threat);

.                 gen gamma1_lo = gamma1 - 1.96*sd_gamma1;

.                 gen gamma1_hi = gamma1 + 1.96*sd_gamma1;

.                 gen gamma2_lo = gamma2 - 1.96*sd_gamma2;

.                 gen gamma2_hi = gamma2 + 1.96*sd_gamma2;

.         /* Make figure A.3*/
>                 twoway lowess gamma1 threat, scheme(s1color)
>                         lcolor(blue) lwidth(thick)
>                         ||      lowess gamma1_lo threat, 
>                         lcolor(ltblue ) lwidth(thin  ) 
>                         ||      lowess gamma1_hi threat, 
>                         lcolor(ltblue ) lwidth(thin  ) 
>                         || lowess gamma2 threat, 
>                         lcolor(red) lwidth(thick) lpattern(longdash )
>                         ||      lowess gamma2_lo  threat, 
>                         lcolor(pink ) lwidth(thin ) lpattern(longdash )
>                         ||      lowess  gamma2_hi threat, 
>                         lcolor(pink ) lwidth(thin ) lpattern(longdash )
>                         yline(0)
>                         xtitle("Territorial Threat (weak link)")
>                         legend(off);

.         graph save figA3, replace asis;
(note: file figA3.gph not found)
file figA3.gph saved

. /* Figure A.4*/ 
>         restore;

.                 preserve;

.         #delimit;
delimiter now ;
.                 /* Limite data to sample and collapse to min/max range */
>                 keep if GN==1;
(607 observations deleted)

.                 collapse (mean) threat=threat_min  (median) ldist lrgdp lrgdppc lareap bothin onein gsp  regional custrict comlang border landl island comcol colony curcol comctry (min) threat_min=threat_min (max) threat
> _max=threat_min;

.                 /* Generate simulations */
>                 expand 100;
(99 observations created)

.                         replace threat = threat_min + (_n/_N)*(threat_max - threat_min);
(100 real changes made)

.                 expand 100;
(9,900 observations created)

.                 drawnorm b_BothDem_Threatmin b_OneDem_Threatmin b_BothDem b_OneDem b_threat_min b_bothin b_onein b_gsp b_ldist b_lrgdp b_lrgdppc b_regional b_custrict b_comlang b_border b_landl b_island b_lareap b_comcol
>  b_colony b_curcol b_comctry b_cons, means(B) cov(V);

.                 gen pr_trade_both = exp(b_BothDem_Threatmin*threat + b_BothDem + b_threat_min*threat + b_bothin*bothin + b_onein*onein + b_gsp*gsp + b_ldist*ldist + b_lrgdp*lrgdp +
>                         b_lrgdppc*lrgdppc + b_regional*regional + b_custrict*custrict + b_comlang*comlang +  b_border*border + b_landl*landl + b_island*island + b_lareap*lareap + 
>                         b_comcol*comcol + b_colony*colony + b_curcol*curcol + b_comctry*comctry + b_cons);

.                 gen pr_trade_one = exp(b_OneDem_Threatmin*threat + b_OneDem + b_threat_min*threat + b_bothin*bothin + b_onein*onein + b_gsp*gsp + b_ldist*ldist + b_lrgdp*lrgdp +
>                         b_lrgdppc*lrgdppc + b_regional*regional + b_custrict*custrict + b_comlang*comlang +  b_border*border + b_landl*landl + b_island*island + b_lareap*lareap + 
>                         b_comcol*comcol + b_colony*colony + b_curcol*curcol + b_comctry*comctry + b_cons);

.                 gen pr_trade_none = exp(b_threat_min*threat + b_bothin*bothin + b_onein*onein + b_gsp*gsp + b_ldist*ldist + b_lrgdp*lrgdp +
>                         b_lrgdppc*lrgdppc + b_regional*regional + b_custrict*custrict + b_comlang*comlang +  b_border*border + b_landl*landl + b_island*island + b_lareap*lareap + 
>                         b_comcol*comcol + b_colony*colony + b_curcol*curcol + b_comctry*comctry + b_cons);

.                 /* Calculate quantities of interest */
>                 collapse (mean) pr_trade_both pr_trade_one pr_trade_none, by(threat);

.         /* Make figure */
>                 twoway lowess pr_trade_both threat, scheme(s1color)
>                         lcolor(blue) 
>                         || lowess pr_trade_one threat, 
>                         lcolor(red) lwidth(medthick) lpattern (longdash)
>                         ||      lowess  pr_trade_none threat, 
>                         lcolor(black ) lwidth(medium ) lpattern(dash )
>                         ylabel(0(5000)15000)
>                         xtitle("Territorial Threat (weak link)")
>                         legend(lab(1  "Both Dem") lab(2 "One Dem") lab(3 "No Dem") symx(*.5) row(1));

.                         graph save figA4, replace asis;
(note: file figA4.gph not found)
file figA4.gph saved

. restore;

.                         log close;
      name:  <unnamed>
       log:  C:\Users\markd\Dropbox\Mark Research\Working Papers\Gibler-Nieman\Split-sample alliance\JoP Final\Replication\Appendix\NiemanGibler_JOP_demdiff_appendix.log
  log type:  text
 closed on:  25 Sep 2020, 15:20:30
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